Publications

Welcome to my publications, which are organized chronologically and thematicallyBooks, recent submissions, and technical reports are also listed.



Chronological


Thematic
2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000
1999, 1998, 1997, 1996, 1995, 1994, 1993,
1992, 1991, 1990 and earlie

Books

Paul R. Cohen Niall Adams, Michael Berthold. Advances in Intelligent Data Analysis. 2010. IX: 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010: Proceedings. Springer.

Paul R. Cohen, M. Berthold, (Eds.), X. Liu, Advances in Intelligent Data Analysis: Reasoning about Data 1997. Heidelberg: Springer-Verlag.

Paul R. Cohen. Empirical Methods for Artificial Intelligence. 1995. Cambridge, Mass: The MIT Press.

Avron B. Barr, Paul R. Cohen and Edward A. Feigenbaum. The Handbook of Artificial Intelligence, Volume IV. 1989. Reading, Mass: Addison Wesley.

Paul R. Cohen. Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach. 1985. London: Pitman Advanced Publishing Program.

Paul R. Cohen and Edward A. Feigenbaum. The Handbook of Artificial Intelligence, Volume 3. 1985. Los Altos, CA.: William Kaufmann.

Recent Submissions and Reports


Paul R. Cohen, Wesley Kerr, Yu-Han Chang. Mining propositional dynamics from sensory input



Chronological List of Papers



2013

Carole Beal, Jane Strohm, Lauren Schwindy, Paul Cohen. 2013. Teach Ourselves: A Peer-to-Peer Learning Community Linking In-and Out-of-class Activity . Bulletin of the IEEE Technical Committee on Learning Technology 15 (1), 13.

2012

Carole Beal, Paul Cohen. 2012. Teach Ourselves: Technology to Support Problem Posing in the STEM Classroom Creative Education 2012. Vol.3, No.4, 513-519, Published Online August 2012 in SciRes(http://www.SciRP.org/journal/ce).

2011

Thomas Walsh, Javad Taheri, Jeremy Wright, Paul Cohen. 2011. Leadership Games and their Application in Super-Peer Networks .Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence.

Daniel Hewlett, Thomas Walsh, Paul Cohen. 2011. Teaching and Executing Verb Phrases .Development and Learning (ICDL), 2011 IEEE International Conference on 2, 1-6.


Raquel Peralta, Tasneem Kaochar, Ian Fasel, Clayton Morrison, Thomas Walsh, Paul Cohen. 2011. Challenges to Decoding the Intention Behind Natural Instruction .RO-MAN, 2011 IEEE, 113-118.


Wesley Kerr, Anh Tran, Paul Cohen. 2011. Activity Recognition with Finite State Machines . Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume, Vol. 2, 1348-1353, AAAI Press.


Wesley Kerr, Paul R Cohen, Niall Adams. Recognizing Players' Activities and Hidden State . 2011. Proceedings of the 6th International Conference on Foundations of Digital Games.


Daniel Hewlett, Paul Cohen. 2011. Word Segmentation as General Chunking .Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 39-47, Association for Computational Linguistics.


Daniel Hewlett, Paul Cohen. 2011. Fully Unsupervised Word Segmentation with BVE and MDL . Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers, Vol. 2, 540-545.


Derek Green, Thomas Walsh, Paul Cohen, Yu-Han Chang. 2011. Learning a Skill-Teaching Curriculum with Dynamic Bayes Nets .Twenty-Third IAAI Conference.


Daniel Hewlett, Thomas Walsh, Paul Cohen. 2011. A Framework for Teaching and Executing Verb Phrases . AAAI Spring Symposium Series.


Tasneem Kaochar, Raquel Torres Peralta, Clayton T Morrison, Thomas J Walsh, Ian R Fasel, Sumin Beyon, Anh Tran, Jeremy Wright, Paul R Cohen. 2011. Human Natural Instruction of a Simulated Electronic Student . AAAI Spring Symposium.


Paul Cohen. Processes in Learning . 2011. Proceedings of the International Workshop on Personalization Approaches in Learning Environments.


Tasneem Kaochar, Raquel Peralta, Clayton Morrison, Ian Fasel, Thomas Walsh, Paul Cohen. 2011. Towards Understanding How Humans Teach Robots .User modeling, adaption and personalization, 347-352.


Derek Green, Thomas Walsh, Paul Cohen, Carole Beal, Yu-Han Chang. 2011. Gender Differences and the Value of Choice in Intelligent Tutoring Systems.User Modeling, Adaption and Personalization, 341-346.

2010

Wesley Kerr, Paul Cohen. 2010. Recognizing Behaviors and the Internal State of the Participants .Development and Learning (ICDL), 2010 IEEE 9th International Conference on.

Niall Adams, Paul Cohen, Michael Berthold. 2010. Changing the Focus of the IDA Symposium .Advances in Intelligent Data Analysis IX, 1-5.


Daniel Hewlett and Paul Cohen.  2010. Artificial General Segmentation.  Proceedings of the Conference on Artificial General Intelligence. Lugano, Switzerland, March, 2010. 

Erin N Cannon, Paul R Cohen. 2010. Talk about motion: the semantic representation of verbs by motion dynamics. The Spatial Foundations of Cognition and Language: Thinking Through Space, 235-258.

Carole R. Beal, Niall M. Adams and Paul R. Cohen. 2010.  Reading Proficiency and Mathematics Problem Solving by High School English Language Learners. Urban Education 2010; 45; 58.

Carole R. Beal, Ivon M. Arroyo,  Paul R. Cohen, Beverly P. Woolf. 2010.  Evaluation of Animal Watch: An intelligent tutoring system for arithmetic and fractions.
Journal of Interactive Online Learning, 9(1), 64-77. Retrieved from http://www.editlib.org/p/109407 Journal of Interactive Online Learning. & EditLib.

2009

Paul R. Cohen and Niall Adams. 2009. Intelligent Data Analysis in the Twenty First Century. In Proceedings of the Intelligent Data Analysis Conference, Lyon, France,

Daniel Hewlett and Paul R. Cohen. 2009.Bootstrapped Voting Experts. Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09).

Daniel Hewlett and Paul Cohen. 2009. Word Segmentation as General Chunking Psychocomputational Models of Language Acquisition Workshop (PsychoCompLA).

Aram Galstyan, Vahe Musoyan, and Paul Cohen. 2009. Maximizing Influence Propagation in Networks with Community Structure.  Physical Review E, May, 79(5):056102.

2008


Carole R. Beal & Paul R. Cohen.  2008. Temporal Data Mining for Educational Applications. Pacific Rim Conference on AI. Hanoi.

Paul R. Cohen Carole R. Beal and Niall Adams. 2008. The Design, Deployment and Evaluation of the AnimalWatch Intelligent Tutoring System. Prestigious Applications of AI (PAIS), European Conference on AI, Patras.

Aram Galstyan and Paul R. Cohen. 2008. Comparing Diffusion Models for Graph Based Semi--Supervised Learning 6-th International Workshop on Mining and Learning with Graphs, MLG-08, Helsinki, Finland.

Aram Galstyan and Paul Cohen. 2008. Influence Propagation in Modular Networks AAAI Symposium on Social Information Processing, SIP-08, Stanford, CA.

Wesley Kerr, Paul Cohen, and Yu-Han Chang. 2008. Learning and Playing in Wubble World. Artificial Intelligence and Interactive Digital Entertainment.


2007

Aram Galstyan, Paul R. Cohen. 2007. Cascading Dynamics in Modular Networks, Physical Review E, 75, 036109 .

Aram Galstyan and Paul Cohen. 2007. Activity Spreading in Modular Networks NIPS-07 workshop on Statistical Models of Networks, Vancouver, Canada.


Aram Galstyan and Paul Cohen. 2007. Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification .The 9th International Conference on Inductive Logic Programming, ILP-07, Corvalis, Oregon Reference.


Aram Galstyan, Sinjini Mitra, and Paul Cohen. 2007. Detecting and Tracking Hostile Plans in the Hats World AAAI workshop on Plan, Activity, and Intent Reecognition, PAIR-07, Vancouver, Canada.

Daniel Hewlett, Shane Hoversten, Wesley Kerr, Paul Cohen, Yu-Han Chang. 2007. Wubble World. Proceedings of The Third Artificial Intelligence for Interactive Digital Entertainment Conference. Stanford University.

Wesley Kerr, Shane Hoversten, Daniel Hewlett Paul Cohen, Yu-Han Chang.  2007. Learning in Wubble World. Proceedings of the  International Conference on Learning and Development

Carole Beal, Sinjini Mitra, Paul R. Cohen. 2007. Modeling learning patterns of students with a tutoring system using Hidden Markov ModelsProceedings of the 13th International Conference on Artificial Intelligence in Education (AIED), Marina del Rey, CA.


Clayton T. Morrison & Paul R. Cohen. 2007. Designing Experiments to Test Planning Knowledge about Plan-step Order Constraints. .Workshop on Artificial Intelligence Planning and Learning, in conjunction with the International Conference on Automated Planning and Scheduling (ICAPS-07)
Presented at the Acquiring Planning Knowledge via Demonstration.

Clayton T. Morrison and Paul R. Cohen. 2007. Designing Experiments to Test and Improve Hypothesized Planning Knowledge Derived From Demonstration. In Papers from the 2007 AAAI Workshop on AAAI Press.

2006

Paul Cohen.  2006. If Not Turing's Test, Then What?  AI Magazine.  26 (4).

Paul R. CohenNiall Adams, Brent Heeringa.  2006. Voting Experts:  An Unsupervised Algorithm for Segmenting Sequences.  To appear in Journal of Intelligent Data Analysis. 

Paul Cohen, Yu-Han Chang, Clayton Morrison. 2006. Learning and Transferring Action Schemas. Proceedings of the Twentieth International Conference on Artificial Intelligence.

Paul Cohen. 2006.   Discovering Threads in Research Papers: Relational Similarity and the PUBTREE Algorithm.
Proceedings of the the Twentieth International Conference on Artificial Intelligence.

Erin N. Cannon, Paul R. Cohen.  2006. Talk about motion:  The semantic representation of verbs by motion dynamics.  Forthcoming book on Language and Space, edited by Linda Smith. 2006

Aram Galstyan. Paul R. Cohen. 2006. Relational Classification Through Three--State Epidemic Dynamics. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories. 2006.    

Clayton T. Morrison. Paul R. Cohen. 2006. The Colab Mixed-Initiative Analysis Environment. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories.     

Clayton T. Morrison. Paul R. Cohen. 2006. The Hats Information Fusion Challenge Problem. The 9th International Conference on Information Fusion (Fusion 2006), special session on Distributed Inference and Decision-Making in Multisensor Systems. 2006.

Clayton T. Morrison. Paul R. Cohen. 2006. The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment. Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI 2006). LNCS 3975.

Robert St. Amant, Clayton T. Morrison, Yu-Han Chang, Paul R. Cohen, and Carole Beal. 2006. An Image Schema LanguageThe International Conference on Cognitive Modeling.  2006.  Trieste.  

Clayton Morrison and Yu-Han Chang and Paul Cohen and Joshua Moody. 2006. Experimental State Splitting for Transfer Learning.  ICML 2006 Workshop on Structural Knowledge Transfer for Machine Learning. 2006.

Yu-Han Chang and Clayton Morrison and Wesley Kerr and Paul Cohen and Robert St. Amant. 2006.
The Jean SystemInternational Conference on Development and Learning. 2006.

Yu-Han Chang, Paul R. Cohen, Clayton Morrison, Robert St. Amant.  2006. Piagetian Adaptation Meets Image Schemas: The Jean SystemProceedings of the Ninth Annual Conference on the Simulation of Adaptive Behavior.  Rome. 2006. Also published in From Animals to Animats 9, Springer Lecture Notes in Computer Science, Vol 4095. 


2005

Aram Galstyan. Paul R. Cohen. 2005. Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland.  

Clayton T. Morrison, Paul R. Cohen. 2005. COLAB: A Laboratory Environment For Studying Analyst Sensemaking and Collaboration. .Proceedings of the Tenth International Command and Control Research and Technology Symposium.

Paul Cohen, Clayton Morrison and Erin Cannon. 2005. Maps for Verbs:  The Relationship between Interaction Dynamics and Verb Use.  Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland.

Carole R. Beal and Paul R. Cohen. 2005. Computational methods for evaluating student and group learning histories in intelligent tutoring systems. 12th International Conference on Artificial Intelligence in Education, July 18-22, 2005, Amsterdam. 

Tim Oates, Paul Cohen, Bill Krueger, Carole Beal, Tom Armstrong. 2005. Learning by Doing and Knowledge Transfer.  Accepted as a poster at  Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 

Aram Galstyan and Paul Cohen.  2005. Is Guilt by Association a Bad Thing?  First International Conference on Intelligence Analysis.  Washington D.C.

Aram Galstyan and Paul Cohen. 2005. Identifying Covert Sub-Networks Through Iterative Node Classification.  First International Conference on Intelligence Analysis.  Accepted as a poster. Washington D.C. .

Andrew C. Hannon, Gary King, Clayton Morrison, Aram Galstyan and Paul Cohen.  2005. Population Generation for Large-Scale Simulation.  Proceedings of AeroSense.

Clayton T. Morrison, Paul R. Cohen, Gary W. King, Joshua Moody and Andrew Hannon 2005. Simulating Terrorist Threats in the Hats SimulatorFirst International Conference on Inelligence Analysis.  Washington D.C. .

Clayton T. Morrison. Paul R. Cohen. 2005. Noisy Information Value in Utility-Based Decision making. The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005), Workshop on Utility-Based Data Mining.

Gary. W. King, Matthew Schmill, Andrew Hannon, and Paul Cohen.  2005. Asymmetric Threat Assessment Tool (ATAT). In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (BRIMS) (Orlando, FL, May 2005), L. Allender and T. Kelley, Eds.

Erin Cannon and Paul Cohen and Clayton Morrison. 2005. "'Bonk!' Children’s Spontaneous Production of Verbs for Object Interactions", Poster at the 2005 Biennial Meeting of the Society for Research in Child Development.

2004

Paul R. Cohen and Clayton T. Morrison.  2004. The Hats Simulator.  Proceedings of the 2004 Winter Simulation Conference. 

Clayton Morrison, Erin Cannon and Paul Cohen 2004. When Push Comes to Shove: A Study of the Relation Between Interaction Dynamics and Verb Use,  AAAI Spring Symposium Series, Language Learning: An Interdisciplinary Perspective.

Adibi, J., Cohen, P. and. Morrison, C.  2004. Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (ACM-SIGKDD-04).

Charles Sutton, Clayton Morrison, Paul Cohen, Joshua Moody, Jafar Adibi.  2004. A Bayesian Blackboard for Information Fusion,  Proceedings of The Seventh International Conference on Information Fusion.

2003

Ken Barker, Jim Blythe, Gary Borchardt, Vinay K. Chaudhri, Peter E. Clark, Paul Cohen, Julie Fitzgerald, Ken Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary King, Sunil Mishra, Ken Murray, Charley Otstott, Bruce Porter, Robert C. Schrag, Tomás Uribe, Jeff Usher, Peter Z. Yeh. 2003. A Knowledge Acquisition Tool for Course of Action Analysis  Conference on Innovative Applications of Artificial Intelligence (IAAI)

Jesus S. Aguilar-Ruiz, Domingo S. Rodriguez-Baena. 2003. Paul R. Cohen, Jose C. Riquelme Clustering Main Concepts from E-mails. Lecture Notes on Artificial Intelligence  3040, pp. 231-240.

Brendan Burns, Charles Sutton, Clayton Morrison and Paul Cohen. 2003.    Information Theory and Representation in Associative Word Learning,  Proceedings of the Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems.

Sutton, Charles, Brendan Burns, Clayton T. Morrison, Paul R. Cohen. 2003. Guided Incremental Construction of Belief Networks. Fifth International Symposium on Intelligent Data Analysis.

Cohen, Paul R. and Charles Sutton. 2003. Very Predictive Ngrams for Space-Limited Probabilistic Models. Fifth International Symposium on Intelligent Data Analysis.

Gary King, Clayton Morrison, Paul R. Cohen. 2003. Action Models.  Proceedings of the 35th conference on Winter simulation. New Orleans, Louisiana0.

Brendan Burns and Clayton Morrison. 2003. Temporal abstraction in Bayesian networks,  AAAI Spring Symposium.

2002

Beal, Carole R.,Joseph Beck, David Westbrook, and Paul R. Cohen. 2002. Intelligent modeling of the User in Interactive entertainment.  AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment, 2002.

Paul R. Cohen, Brent Heeringa, Niall M. Adams.  An Unsupervised Algorithm for Segmenting Categorical Time Series into Episodes. . Proceedings of International Conference on Data Mining. pp. 99-106. Maebashi City.  Japan. 2002. Also appeared  in the Working Notes of the 2002 ESF Exploratory Workshop on Pattern Detection and Discovery in Data Mining.

Oates, Tim. 2002. An Unsupervised Algorithm for Finding Recurring Patterns in Time SeriesInternational Conference on Data Mining. Maebashi City.  Japan. 

Firoiu, Laura and Paul R. Cohen. 2002. Segmenting Time Series with a Hybrid Neural Networks - Hidden Markov Model. The Eighteenth National Conference on Artificial Intelligence.

Cohen, Paul R., Tim Oates, Carole R. Beal, Niall Adams. 2002. Contentful Mental States for Robot Baby. To be presented at The Eighteenth National Conference on Artificial Intelligence.

Cohen, Paul R.,Charles Sutton, Brendan Burns. 2002. Learning effects of Robot Actions using Temporal Associations. The 2nd International Conference on Development and Learning (ICDL'02).

Morrison, Clayton T., Paul R. Cohen, Paola Sebastiani. 2002. On the Development of Visual Object Memory: The Stay/Go Decision Problem. The 2nd International Conference on Development and Learning (ICDL'02).

Brendan Burns and Paul Cohen 2002 A Probabilistic Approach to Real Time Construction of MemoriesProceedings of the Seventh International Autonomous Systems Conference, Marina del Rey.

King, Gary W., Brent Heeringa, Joe Catalano, David L. Westbrook, and Paul Cohen. 2002. Models of Defeat. Proceedings of the Second International Conference on Knowledge Systems for Colation Operations . pp. 85-90.

King, Gary W., Marc Atkin and David L. Westbrook. 2002. Tapir: the Evolution of an Agent Control LanguageFirst Joint Conference of Autonomous Agents and Multiagent Systems.

Schmill, Matthew. Cohen, Paul R. 2002. A Motivational System that Drives the Development of ActivityFirst Joint Conference of Autonomous Agents and Multiagent Systems.

Gary King, Marc Atkin, David Westbrook, and Paul Cohen Tapir: an action language beyond scripting.  In Proceedings of the 3rd International Conference on Computers  and Games , July 2002.

McGeoch, Catherine, Peter Sanders, Rudolph Fleischer, Paul R. Cohen and Doina Precup. 2002. Using Finite Experiments to Study Asymptotic Performance. Experimental Algorithmics. Edited by Fleischer, Moret and Meineche Schmidt. Springer, pp. 93-124.


2001

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2001. Bayesian Clustering by Dynamics. Machine Learning, vol. 47 , no. 1, pp. 91-121.

Cohen, Paul R, Tim Oates, Niall Adams and Carole Beal. 2001. Robot Baby 2001. Invited talk at the Twelfth International Conference on Algorithmic Learning Theory.

Cohen, Paul R. 2001. Fluent Learning: Elucidating the Structure of Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Cohen, Paul R and Niall Adams. 2001. An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Cohen, Paul R, Niall Adams and David J. Hand. 2001. The IDA '01 Robot Data Challenge. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Heeringa, Brent and Tim Oates. 2001. Incrementally Learning Parameters of Stochastic Context-Free Grammars using Summary Statistics. Working Notes of the AAAI Fall Symposium Series, pp. 58-63.

Marc Atkin and David Westbrook. 2001. Panel Discussion: Collaboration Between Academia and Industry: A Case Study. Working Notes of AAAI Spring Symposium, pp. 5-6.

King, Gary W. and Tim Oates. 2001. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence.

Morrison, Clayton T., Tim Oates and Gary W. King. 2001. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Kaelbling, Leslie Pack, Tim Oates, Natalia Hernandez and Sarah Finney. 2001. Learning in Worlds with Objects. WorkingNotes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Marc Atkin, Gary W. King, David Westbrook, Brent Heeringa, Andrew Hannon and Paul Cohen. 2000. SPT: Hierarchical Agent Control: A Framework for Defining Agent Behavior. Proceedings of Fifth International Conference on Autonomous Agents, pp. 425-432.

St. Amant, Robert, Christopher Healy, Mark Riedl, Sarat Kocherlakota, David Pegram and Mika Torhola. 2001. Intelligent Visualization in a Planning Situation. Proceedings of International Conference on Intelligent User Interfaces, pp. 153-160.


2000

Jensen, David, and Paul R. Cohen. 2000. Multiple Comparisons in Induction Algorithms. Machine Learning, vol. 38, no. 3, pp. 309-338.

Marc Atkin, David L.Westbrook and Paul Cohen. 2000. Domain-General Simulation and Planning with Physical Schemas. Proceedings of Winter Simulation Conference, pp. 464-470.

Marc Atkin and Paul Cohen. 2000. Using Simulation and Critical Points to Define States in Continuous Search Spaces. Proceedings of Winter Simulation Conference, pp. 1730-1738.

Heeringa, Brent and Paul Cohen. 2000. An Underlying Model for Defeat Mechanisms. Proceedings of Winter Simulation Conference, p. 933. Presented at AAAI Fall Symposium, 2000 Workshop on Simulating Human Agents.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2000. Bayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Fifth International Workshop on Case Studies in Bayesian Statistics.Lecture Notes in Statistics, Springer, New York, NY, 2000.

Marc Atkin, David L.Westbrook, and Paul R. Cohen. HAC: A Unified View of Reactive and Deliberative Activity. Working Notes of the European Conference on Artificial Intelligence Workshop, Balancing Reactivity and Social Deliberation in Multi-Agent Systems. Also University of Massachusetts Computer Science Department Technical Report 00-50.

Firoiu, Laura. 2000. Rule Induction from Noisy Examples. Presented at AAAI Workshop: Learning Statistical Models from Relational Data.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2000. Multivariate Clustering by Dynamics. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 633-638. AAAI Press/The MIT Press: Menlo Park/Cambridge.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 2000. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253.

Cohen, Paul R., Marco Ramoni, and Paola Sebastiani. 2000. Unsupervised Clustering of Robot Activities: A Bayesian Approach. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 134-135. ACM: New York, NY.

Oates, Tim, Zachary Eyler-Walker and Paul R. Cohen. 2000. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors.Proceedings of the Fourth International Conference on Autonomous Agents, pp. 227-228. ACM: New York, NY.

Oates, Tim, Matthew Schmill and Paul R. Cohen. 2000. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 110-111. ACM: New York, NY.

Marc Atkin, Gary King, David L.Westbrook and Paul R. Cohen. 2000. Some Issues in AI Engine Design. Presented at AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment.


1999

Cohen, Paul R. and Mary Litch. 1999. On Explaining Behavior. Proceedings of the European Conference on Philosophical Psychology.

St. Amant, Robert. Resolving Conflicts in Collaborative Human - Computer Interaction. AAAI Technical Report WS-99-08 (Notes from the Agents' Conflicts workshop.) AAAI Press. 1999.

David A. Pegram, Robert St. Amant, Mark Riedl. An approach to visual interaction in mixed-initiative planning. Paper presented at Mixed-Initiative Intelligence Workshop, AAAI-99

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 1999. Bayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Second European Conference on Highly Structured Stochastic Systems (HSSS-99), Pavia, Italy.

Sebastiani, Paola, Marco Ramoni, Paul R. Cohen, John Warwick and James Davis. 1999. Discovering Dynamics using Bayesian Clustering. Proceedings of the Third Symposium on Intelligent Data Analysis.

Oates, Tim. 1999. Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 322-326.

Provost, Foster, David Jensen and Tim Oates. 1999. Efficient Progressive Sampling. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 23-32.

Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36.

Firoiu, Laura and Paul R. Cohen. 1999. Learning Elements of Representations for Redescribing Robot Experiences. Presented at Third Symposium on Intelligent Data Analysis.

Firoiu, Laura and Paul R. Cohen. 1999. Abstracting from Robot Sensor Data using Hidden Markov Models. Proceedings of the Sixteenth International Conference on Machine Learning, pp. 106-114.

Sebastiani, Paolo, Marco Ramoni and Paul R. Cohen. 1999. Unsupervised Classification of Sensory Input in a Mobile Robot. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 23-28.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 47-53.

Oates, Tim, Laura Firoiu and Paul R. Cohen. 1999. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 17-21.

Paul R. Cohen and Mary Litch. 1999. What are contentful mental states? Dretske's theory of mental content viewed in the light of robot learning and planning algorithms. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 108-113.

Jensen, David, Michael Atighetchi, Regis Vincent and Victor R. Lesser. 1999. Learning Quantitive Knowledge for Multiagent Coordination. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 24-31.

Oates, Tim and David Jensen. 1999. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 372-378.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 634-640.

Paul R. Cohen, Vinay Chaudrhi, Adam Pease and Robert Schrag. 1999. Does Prior Knowledge Facilitate the Development of Knowledge-based Systems?Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 221-226.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 1999. Efficient Mining of Statistical Dependencies. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp. 794-799.

Marc Atkin, David L. Westbrook and Paul R. Cohen. 1999. Capture the Flag: Military Simulation Meets Computer Games. Presented at AAAI Spring Symposium on AI and Computer Games.

St. Amant, Robert. 1999. Planning and User Interface Affordances. Proceedings of the Fifth International Conference on Intelligent User Interfaces.

Jensen, David, Yulin Dong, Barbara Staudt Lerner, Leon J. Osterweil, Stanley M. Sutton, Jr., and Alexander Wise. 1998. Coordinating Agent Activities In Knowledge Discovery Processes. Proceedings of the International Joint Conference on Work Activities, Coordination and Collaboration.

Jensen, David. 1999. Statistical Challenges to Inductive Inference in Linked Data. Presented at Uncertainty '99: The Seventh International Workshop on Artificial Intelligence and Statistics.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 1998. Learned Models for Continuous Planning. Presented at Uncertainty '99: The Seventh Internatinal Workshop on Artificial Intelligence and Statistics, pp. 278-282.

Oates, Tim,Paul R. Cohen and Casey Durfee. 1998. Efficient Mining of Statistical Dependencies. Paper presented at Seventh International Workshop on Artificial Intelligence and Statistics, pp.133-141.


1998

Cohen Paul R., Robert Schrag, Eric Jones, Adam Pease, Albert Lin, Barbara Starr, David Easter, David Gunning and Murray Burke. 1998. The DARPA High Performance Knowledge Bases Project. Artificial Intelligence Magazine, vol. 19, no. 4, pp.25-49.

St. Amant, Robert and Paul R. Cohen. 1998. Interaction with a Mixed-Initiative System for Exploratory Data Analysis. Knowledge-Based Systems, vol. 10, no. 5, pp. 265-273.

St. Amant, Robert and Paul R. Cohen. 1998. Intelligent Support for Exploratory Data Analysis. Journal of Computational and Graphical Statistics, vol. 7, no. 4, pp. 545-558.

Marc Atkin and Paul R. Cohen. 1998. Physical Planning and Dynamics. Paper presented at AAAI Fall Symposium on Distributed Continual Planning, pp. 4-9.

Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning Regular Languages from Positive Evidence. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society, pp. 350-355.

Oates, Tim, and David Jensen. 1998. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 294-298.

Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning a Deterministic Finite Automaton With a Recurrent Neural Network. ©Springer-Verlag, http://www.springer.de/comp/lncs/ index.html. Proceedings of the Fourth International Colloquium on Grammatical Inference, pp. 90-101.

Cohen, Paul R. 1998. Maps for Verbs. Proceedings of the Information and Technology Systems Conference, Fifteenth IFIP World Computer Congress, pp. 21-33.

Cohen, Paul R. 1998. Dynamic Maps as Representations of Verbs.Proceedings of the 13th Biennial European Conference on Artificial Intelligence, pp. 145-149.

Piater, Justus H., Paul R. Cohen, Xiaoqun Zhang and Michael Atighetchi. 1998. A Randomized ANOVA Procedure for Comparing Performance Curves. Proceedings of the Fifteenth International Conference on Machine Learning, pp. 430-438.

Cohen, Paul R. and Tim Oates. 1998. A Dynamical Basis for the Semantic Content of Verbs. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 5-8.

Rosenstein, Michael T. and Paul R. Cohen. 1998. Symbol Grounding with Delay Coordinates. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 20-21.

Utgoff, Paul E. and Paul R. Cohen. 1998. Applicability of Reinforcement Learning. In Methodology of Applying Machine Learning: Problem Definition, Task Decomposition and Technique Selection Workshop, ICML-98, pp. 37-43.

Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.

Marc Atkin, David L. Westbrook, Paul R. Cohen and Gregory D. Jorstad. 1998. AFS and HAC: Domain-General Agent Simulation and Control. In Workshop on Software Tools for Developing Agents, AAAI-98, pp. 89-95.

Rosenstein, Michael T. 1998. Concepts From Time Series. Abstract. Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 739-745.

Schmill, Matthew D., Michael T. Rosenstein, Paul R. Cohen, and Paul Utgoff. 1998. Learning What is Relevant to the Effects of Actions for a Mobile RobotCopyright, 1998 ACM, Inc. Proceedings of the Second International Conference on Autonomous Agents, pp. 247-253.


1997

Tim Oates, Prasad, M. V. Nagendra, and Victor R. Lesser 1997. Cooperative Information Gathering: a Distributed Problem Solving Approach. IEEE Journal of Software Engineering, Special issue on Developing Agent Based Systems, vol. 144, no. 1.

Cohen, Paul R., Marc Atkin, Tim Oates, and Beal, Carole R. 1997. Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Proceedings of the First International Conference on Autonomous Agents, pp. 170-177.

Cohen, Paul R., and David Jensen. 1997. Overfitting Explained. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 115-122.

Cohen, Paul R. 1997. Projections as Concepts. Proceedings of the 2nd European Conference on Cognitive Science, pp. 56-60.

Gregory, Dawn E. and Paul R. Cohen. 1997. Integrating Many Techniques for Discovering Structure in Data. In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 77-88.

Gregory, Dawn E. and Paul R. Cohen. 1997. Intelligent Assistance for Computational Scientists: Integrated Modeling, Experimentation, and Analysis. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 231-238.

Jensen, David. 1997. Prospective Assessment of AI Technologies for Fraud Detection and Risk Management. In AI Approaches to Fraud Detection and Risk Management. Collected Papers from the 1997 Workshop. Also, AAAI Press, pp. 34-38.

Jensen, David, Tim Oates and Paul R. Cohen. 1997. Building Simple Models: A Case Study with Decision Trees. In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 211-222.

Jensen, David. 1997. Adjusting for Multiple Testing in Decision Tree Pruning. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 295-302.

Jensen, David. 1997. Unique Challenges of Managing Inductive Knowledge. In AAAI 1997 Spring Symposium on Artificial Intelligence in Knowledge Management. pp 75-81. Also in: Artificial Intelligence and Knowledge Management. Collected Papers from the 1997 Workshop. Also, AAAI Press, pp. 25-31.

Jensen, David and Matthew D. Schmill. 1997. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. AAAI Press, pp. 195-198.

Oates, Tim, Matthew D. Schmill, and Paul R. Cohen. 1997. Parallel and Distributed Search for Structure in Multivariate Time Series. Proceedings of the Ninth European Conference on Machine Learning, pp. 191-198.

Oates, Tim and David Jensen. 1997. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning, pp. 254-261. An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 379 - 390.

Oates, Tim, Matthew D. Schmill, David Jensen, and Paul R. Cohen. 1997. A Family of Algorithms for Finding Temporal Structure in Data. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 371-378.

Rosenstein, Michael T., Paul R. Cohen, Matthew D. Schmill, and Marc Atkin. 1997. Action Representation, Prediction and Concepts. Paper presented at AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control.

St. Amant, Robert and Paul R. Cohen. 1997. Evaluation of a Semi-Autonomous Assistant for Exploratory Data Analysis. Proceedings of the First International Conference on Autonomous Agents, pp. 355-362.

St. Amant, Robert and Paul R. Cohen. 1997. Interaction with a Mixed Initiative System for Exploratory Data Analysis. Proceedings of the Third International Conference on Intelligent User Interfaces, pp. 15-22.

St. Amant, Robert and Paul R. Cohen. 1997. Building an EDA Assistant: A Progress Report. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 501-512.


1996

McGeoch, C.C. and Paul R. Cohen. 1996. How to Find Big-Oh in Your Data Set (and How Not To). In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 347-354.

Anderson, Scott D. and Paul R. Cohen. 1996. Timed Common LISP: The Duration of Deliberation. In SIGART Bulletin, vol. 7, no. 2, pp. 11-15.

Marc Atkin and Paul R. Cohen. 1996. Monitoring Strategies for Embedded Agents: Experiments and Analysis. Journal of Adaptive Behavior, vol. 4, issue 2. pp 125-172.

Cohen Paul R. 1996. Getting What You Deserve From Data. IEEE Expert Intelligent Systems & Their Applications, vol.11, no. 5, pp. 12-14.

Anderson, Scott D. and Paul R. Cohen. 1996. On-line Planning Simulation. Proceedings of the Third International Conference on Artificial Intelligence Planning Systems, pp. 3-10.

Cohen, Paul R. , Tim Oates , and Marc Atkin. 1996. Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment. In AAAI Fall Symposium on Embodied Cognition and Action.Technical Report FS-96-02, pp. 18-23.

Cohen, Paul R., Tim Oates, Marc Atkin, and Beal, Carole R. 1996. Building a Baby. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, pp. 518-522.

Gregory, Dawn E., Lixin Gao, Arnold L. Rosenberg, and Paul R. Cohen. 1996. An Empirical Study of Dynamic Scheduling on Rings of Processors. Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, pp. 470-473.

Oates, Tim, and Paul R. Cohen. 1996. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. AAAI Press, pp. 863-868.

Oates, Tim, and Paul R. Cohen. 1996. Searching for Structure in Multiple Streams of Data. Proceedings of the Thirteenth International Conference on Machine Learning, pp. 346-354.

Oates, Tim , and Paul R. Cohen. 1996. Learning Planning Operators with Conditional and Probabilistic Effects. In AAAI-96 Spring Symposium on Planning with Incomplete Information for Robot Problems, pp. 86-94.

Oates, Tim, Matthew D. Schmill, Dawn E. Gregory and Paul R. Cohen. 1996. Detecting Complex Dependencies in Categorical Data. Learning from Data: Artificial Intelligence and Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 185-195.

St. Amant, Robert and Paul R. Cohen. 1996. Control Representation in an EDA Assistant. Learning from Data: Artificial Intelligence and Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 353-362. Also, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, and Paul R. Cohen. 1996. A Planner for Exploratory Data Analysis. Proceedings of the Third International Conference on Artificial Intelligence Planning Systems. AAAI Press, pp. 205-212.

Cohen, Paul R., Scott D. Anderson , and David L. Westbrook. 1996. Simulation for ARPI and the Air Campaign Simulator. In Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative. A. Tate (Ed.). AAAI Press, pp. 113-118.

Cohen, Paul R., Tim Oates, and Robert St. Amant. 1996. Plan Steering and Mixed-Initiative Planning. In Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative. A. Tate (Ed.). AAAI Press, pp. 105-112.



1995

Howe, Adele E. and Paul R. Cohen. 1995. Understanding Planner Behavior. Artificial Intelligence, Special Issue on Planning Systems, vol. 76, nos. 1 & 2, pp. 125-166.

Anderson, Scott D., David M. Hart, David L. Westbrook and Paul R. Cohen. 1995. A Toolbox for Analyzing Programs. International Journal of Artificial Intelligence Tools, vol. 4, nos. 1 & 2, pp. 257-279.

Anderson, Scott D. and Paul R. Cohen. 1995. The Duration of Deliberation.Proceedings of the Workshop on Anytime Algorithms and Deliberation Scheduling, IJCAI-95, pp. 33-37. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Anderson, Scott D. and Paul R. Cohen. 1995. Segregating Planners and Their Environments. In Symposium on Integrated Planning Applications, AAAI-95 Spring Symposium Series. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen. 1995. Tools for Empirically Analyzing AI Programs. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, FL, pp. 35-41. Dept. of Computer Science, University of Massachusetts.

Cohen, Paul R., Dawn E. Gregory, Lisa A. Ballesteros and Robert St. Amant. 1995. Two Algorithms for Inducing Structural Equation Models from Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 129-139. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R. and Tim Oates. 1995. Finding Structure in Streams. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 27-31. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., Marc Atkin, Tim Oates and Dawn E. Gregory. 1995. A Representation and Learning Mechanisms for Mental States. In Symposium on Representing Mental States and Mechanisms. AAAI-95 Spring Symposium Series, pp. 15-21. Dept. of Computer Science, University of Massachusetts/Amherst. 1995.

Gregory, Dawn E. and Paul R. Cohen. 1995. A Function Modeling Approach to Empirical Science, (Abstract). In Book of Abstracts of the 10th International Conference on Mathematical and Computer Modeling and Scientific computing, Boston, July, 1995. St Louis: Principia Scientia, p. 42.

Oates, Tim, Dawn E. Gregory, and Paul R. Cohen. 1995. Detecting Complex Dependencies in Categorical Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 417-423. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, M. V. Nagendra Prasad, Victor R. Lesser and Keith Decker. 1995. A Distributed Problem Solving Approach to Cooperative Information Gathering.Proceedings of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments.

Schmill, Matthew D., Tim Oates and Paul R. Cohen. 1995. Tools for Detecting Dependencies in AI Systems. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, pp. 148-155.

St. Amant, Robert and Paul R. Cohen. 1995. A Case Study of Planning for Exploratory Data Analysis. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 1-5. Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert and Paul R. Cohen. 1995. Preliminary System Design for an EDA Assistant. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 502-511. Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert and Paul R. Cohen. 1995. Issues in Automating Exploratory Data Analysis. In AAAI-96 Spring Symposium on Systematic Methods of Scientific Discovery. Stanford University, March 1995, pp. 81-86. Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, Yoshitaka Kuwata and Paul R. Cohen. 1995. Monitoring Progress with Dynamic Programming Envelopes. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, pp. 426-433.


1994

Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen . 1994. Tools for Experiments in Planning. Proceedings of the 6th International IEEE Conference on Tools with Artificial Intelligence, pp. 615-623. Also in Workshop Proceedings of the ARPA/Rome Laboratory Knowledge-Based Planning and Scheduling Initiative, Tucson Arizona. Morgan Kaufmann, pp. 423-432. Dept. of Computer Science, University of Massachusetts/Amherst.

Marc Atkin and Paul R. Cohen. 1994. Learning Monitoring Strategies: A Difficult Genetic Programming Application. Proceedings of ICEC '94, World Congress on Computational Intelligence. Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings of the ARPA/Rome Laboratory Knowledge-Based Planning and Scheduling Initiative, Tucson Arizona. Morgan Kaufmann, pp. 15-25.

Cohen, Paul R., Tom Dean, Yolanda Gil, Matt Ginsberg and Lou Hoebel. 1994. Handbook of Evaluation for the ARPA/Rome Laboratory Planning Initiative and an appendix of evaluation criteria. Proceedings of the ARPA/Rome Laboratory Planning Initiative Workshop, M.H. Burstein, Ed. Morgan Kaufmann, pp. 519-536. This document is available in two parts - An html version is also available, courtesy of the ARPA/Rome Laboratory Planning Initiative and ISX Corporation.

Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Morgan Kaufmann, pp. 445-452.

Lisa Ballesteros. 1994. Regression-Based Causal Induction with Latent Variable Models. Proceedings, Twelfth National Conference on Artificial Intelligence, 1994. AAAI Press/The MIT Press, p. 1426.

Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings, From Animals to Animats, the Third International Conference on Simulation of Adaptive Behavior (1994). Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. In Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Dept. of Computer Science, University of Massachusetts/Amherst.

Gregory, Dawn E. and Paul R. Cohen. 1994. Two Algorithms for Inducing Causal Models from Data. In Knowledge Discovery in Databases Workshop, Twelfth National Conference on Artificial Intelligence, pp. 73-84. Department of Computer Science, University of Massachusetts/Amherst.

Hansen, Eric A. 1994. Cost-Effective Sensing During Plan Execution. Proceedings of the Twelfth National Conference on Artificial Intelligence. AAAI Press/The MIT Press, pp. 1029-1035.

Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Integrating Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the Sixth IEEE International Conference on Tools with AI, Computer Science. Colorado State University.

Kuwata, Yoshitaka, David M. Hart, and Paul R. Cohen. 1994. Steering Traffic Networks. AI in Intelligent Vehicle Highway Systems Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 51-56. Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, M.V. Nagendra Prasad and Victor R. Lesser. 1994. Networked Information Retrieval as Distributed Problem Solving.Proceedings of the CIKM Workshop on Intelligent Information Agents.

Oates, Tim, and Paul R. Cohen. 1994. Evaluation of a Mixed-Initiative Approach to Schedule Maintenance. Proceedings of the Workshop on AI Approaches to Modeling and Scheduling Manufacturing Processes,IEEE Conference on Tools with Artificial Intelligence. Also Department of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, and Paul R. Cohen. 1994. Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Tucson, AZ. Also Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim and Paul R. Cohen. 1994. Toward a Plan Steering Agent: Experiments with Schedule Maintenance. Proceedings of the Second International Conference on AI Planning Systems, pp. 134-139. Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, andPaul R. Cohen. 1994. Toward the Integration of Exploration and Modeling in a Planning Framework. In Knowledge Discovery in Databases Workshop,Twelfth National Conference on Artificial Intelligence, pp. 49-60. , Dept. of Computer Science, University of Massachusetts.

St. Amant, Robert and Paul R. Cohen. 1994. A Planning Representation for Automated Exploratory Data Analysis. In SPIE Proceedings, vol. 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, pp. 44-52. Dept. of Computer Science, University of Massachusetts.

St. Amant, Robert and Paul R. Cohen. 1994. Automated Analysis of Complex Data. Proceedings of the Ninth Annual Goddard Conference on Space Applications of Artificial Intelligence, pp. 161-172. Dept. of Computer Science, University of Massachusetts.

Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. Selecting Models from Data: AI and Statistics IV.Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Dept. of Computer Science, University of Massachusetts, 1994.

Howe, Adele E. and Paul R. Cohen. 1994. Detecting and Explaining Dependencies in Execution Traces. Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, pp. 71-77.


1993

Hanks, Steven, Martha E. Pollack and Paul R. Cohen. 1993. Benchmarks, Testbeds, Controlled Experimentation, and the Design of Agent Architectures. AI Magazine,14(4): 17-42. Winter issue.

Marc Atkin and Paul R. Cohen. 1993. Genetic Programming to Learn an Agent's Monitoring Strategy. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 36-41. Dept. of Computer Science, University of Massachusetts.

Cohen, Paul R., Adam Carlson, and Lisa Ballesteros. 1993. Automating Path Analysis for Building Causal Models from Data. Proceedings of the Tenth International Conference on Machine Learning. 1993, pp. 57-64. Dept. of Computer Science, University of Massachusetts, 1993.

Hansen, Eric A. and Paul R. Cohen. 1993. Learning Monitoring Strategies to Compensate for Model Uncertainty. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence, pp. 33-35.


1992

Cohen, P.R., Robert St. Amant. & David M. Hart, 1992. Early warnings of plan failure, false positives and envelopes: Experiments and a model. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society.Lawrence Erlbaum Associates, Inc, pp. 773-778. Dept. of Computer Science, University of Massachusetts.

Hart, D.M. & Paul R. Cohen, 1992. Predicting and Explaining Success and Task Duration in the Phoenix Planner. Proceedings of the First International Conference on AI Planning Systems. Morgan Kaufmann, pp. 106-115. Dept. of Computer Science, University of Massachusetts.

Howe, A.E. 1992. Analyzing Failure Recovery to Improve Planner Design. Proceedings of the Tenth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 387-392. Dept. of Computer Science, University of Massachusetts.

Kuwata, Y., Hart, D.M. & Cohen, P.R. 1992. Steering the execution of a large-scale planning and scheduling system. AAAI-92 SIGMAN Workshop on Knowledge-Based Production Planning, Scheduling & Control, pp. 62-72.


1991

Cohen, Paul R. 1991. A Survey of the Eighth National Conference on Artificial Intelligence: Pulling Together or Pulling Apart? AI Magazine, 12(1), 16-41. Dept. of Computer Science, University of Massachusetts.

Howe, A.E. & Paul R. Cohen. 1991. Failure recovery: A model and experiments. Proceedings of the Ninth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 801-808.


1990

Cohen, P.R. 1990. Designing and Analyzing Strategies for Phoenix from Models. Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, Katia Sycara (Ed.). Morgan-Kaufman, pp. 9-21.

Hart, D.M., Scott D. Anderson, & Paul R. Cohen. 1990. Envelopes as a vehicle for improving the efficiency of plan execution. Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, Katia Sycara (Ed.), Morgan-Kaufmann, pp. 71-76. Dept. of Computer Science, University of Massachusetts.


1989

Cohen, Paul R., Michael L. Greenberg, David M. Hart, & Adele E. Howe, 1989. Trial by fire: Understanding the Design Requirements for Agents in Complex Environments. AI Magazine.10(3): 32-48.



Thematically Organized Papers





Automated Data Analysis


St. Amant, Robert and Paul R. Cohen. 1998. Interaction with a Mixed-Initiative System for Exploratory Data Analysis. Knowledge-Based Systems, vol. 10, no. 5, pp. 265-273.

St. Amant, Robert and Paul R. Cohen. 1998. Intelligent Support for Exploratory Data Analysis. Journal of Computational and Graphical Statistics, vol. 7, no. 4, pp. 545-558.

Gregory, Dawn E. and Paul R. Cohen. 1997. Intelligent Assistance for Computational Scientists: Integrated Modeling, Experimentation, and Analysis. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 231-238.

McGeoch, C.C., Doina Precup and Cohen, Paul R.. 1997. How to find Big-Oh in Your Data Set (and How Not To). In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 41-52.

St. Amant, Robert and Paul R. Cohen. 1997. Evaluation of a Semi-Autonomous Assistant for Exploratory Data Analysis. Proceedings of the First International Conference on Autonomous Agents, pp. 355-362.

St. Amant, Robert and Paul R. Cohen. 1997. Interaction with a Mixed Initiative System for Exploratory Data Analysis. Proceedings of the Third International Conference on Intelligent User Interfaces, pp. 15-22.

St. Amant, Robert and Paul R. Cohen. 1997. Building an EDA Assistant: A Progress Report. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 501-512.

St. Amant, Robert and Paul R. Cohen. 1996. Control Representation in an EDA Assistant. Learning from Data: Artificial Intelligence and Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 353-362. Technical Report 95-68, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, and Paul R. Cohen. 1996. A Planner for Exploratory Data Analysis. Proceedings of the Third International Conference on Artificial Intelligence Planning Systems. AAAI Press, pp. 205-212.

Gregory, Dawn E. and Paul R. Cohen. 1995. A Function Modeling Approach to Empirical Science, (Abstract). In Book of Abstracts of the 10th International Conference on Mathematical and Computer Modeling and Scientific computing, Boston, July, 1995. St Louis: Principia Scientia, p. 42.

St. Amant, Robert and Paul R. Cohen. 1995. A Case Study of Planning for Exploratory Data Analysis. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 1-5. Technical Report 95-56, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert and Paul R. Cohen. 1995. Preliminary System Design for an EDA Assistant. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 502-511. Technical Report 94-79, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert and Paul R. Cohen. 1995. Issues in Automating Exploratory Data Analysis In AAAI-96 Spring Symposium on Systematic Methods of Scientific Discovery. Stanford University, March 1995, pp. 81-86. Technical Report 95-55, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert and Paul R. Cohen. 1994. Automated Analysis of Complex Data. Proceedings of the Ninth Annual Goddard Conference on Space Applications of Artificial Intelligence, pp. 161-172. Technical Report 94-25, Dept. of Computer Science, University of Massachusetts.


Cognitive Developmental Robotics

Daniel Hewlett, Shane Hoversten, Wesley Kerr, Paul Cohen, Yu-Han Chang. Wubble World. To appear in the proceedings of The Third Artificial Intelligence for Interactive Digital Entertainment Conference. June 2007, Stanford University.

Paul Cohen, Yu-Han Chang, Clayton Morrison. Learning and Transferring Action Schemas. To appear in the Proceedings of the Twentieth International Conference on Artificial Intelligence.

Robert St. Amant, Clayton T. Morrison, Yu-Han Chang, Paul R. Cohen, and Carole Beal. An Image Schema LanguageThe International Conference on Cognitive Modeling.  2006.  Trieste.  

Clayton Morrison and Yu-Han Chang and Paul Cohen and Joshua Moody. Experimental State Splitting for Transfer Learning.  ICML 2006 Workshop on Structural Knowledge Transfer for Machine Learning. 2006.

Yu-Han Chang and Clayton Morrison and Wesley Kerr and Paul Cohen and Robert St. Amant.
The Jean SystemInternational Conference on Development and Learning. 2006.

Yu-Han Chang, Paul R. Cohen, Clayton Morrison, Robert St. Amant.  Piagetian Adaptation Meets Image Schemas: The Jean SystemProceedings of the Ninth Annual Conference on the Simulation of Adaptive Behavior.  Rome. 2006. Also published in From Animals to Animats 9, Springer Lecture Notes in Computer Science, Vol 4095. 

Cohen, Paul R., Tim Oates,Carole R. Beal, Niall Adams. 2002. Contentful Mental States for Robot Baby. To be presented at The Eighteenth National Conference on Artificial Intelligence.

Cohen, Paul R.,Charles Sutton, Brendan Burns. 2002. Learning effects of Robot Actions using Temporal Associations. Also, The 2nd International Conference on Development and Learning (ICDL'02).

Morrison, Clayton T., Paul R. Cohen, Paola Sebastiani. 2002. On the Development of Visual Object Memory: The Stay/Go Decision Problem. The 2nd International Conference on Development and Learning (ICDL'02).

Brendan Burns and Paul Cohen 2002 A Probabilistic Approach to Real Time Construction of MemoriesProceedings of the Seventh International Autonomous Systems Conference, Marina del Rey.

Schmill, Matthew. 2002. A Motivational System that Drives the Development of ActivityFirst Joint Conference of Autonomous Agents and Multiagent Systems.

Cohen, Paul R, Tim Oates, Niall Adams and Carole Beal. 2001. Robot Baby 2001. Invited talk at the Twelfth International Conference on Algorithmic Learning Theory.

King, Gary W. and Tim Oates. 2001. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence.

Morrison, Clayton T., Tim Oates and Gary W. King. 2001. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Kaelbling, Leslie Pack, Tim Oates, Natalia Hernandez and Sarah Finney. 2001. Learning in Worlds with Objects. WorkingNotes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Ramoni, Marco, Paola Sebastiani and Paul R. CohenBayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Fifth International Workshop on Case Studies in Bayesian Statistics.Lecture Notes in Statistics, Springer, New York, NY, 2000.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 2000. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253.

Cohen, Paul R., Marco Ramoni, and Paola Sebastiani. 2000. Unsupervised Clustering of Robot Activities: A Bayesian Approach. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 134-135. ACM: New York, NY.

Oates, Tim, Zachary Eyler-Walker and Paul R. Cohen. 2000. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors.Proceedings of the Fourth International Conference on Autonomous Agents, pp. 227-228. ACM: New York, NY

Oates, Tim, Matthew Schmill and Paul R. Cohen. 2000. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 110-111. ACM: New York, NY.

Cohen, Paul R. and Mary Litch. 1999. On Explaining Behavior. Proceedings of the European Conference on Philosophical Psychology.

Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36.

Firoiu, Laura and Paul R. Cohen. 1999. Learning Elements of Representations for Redescribing Robot Experiences. Presented at Third Symposium on Intelligent Data Analysis.

Firoiu, Laura and Paul R. Cohen. 1999. Abstracting from Robot Sensor Data using Hidden Markov Models. Proceedings of the Sixteenth International Conference on Machine Learning, pp. 106-114.

Sebastiani, Paolo, Marco Ramoni and Paul R. Cohen. 1999. Unsupervised Classification of Sensory Input in a Mobile Robot. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 23-28.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 47-53.

Oates, Tim, Laura Firoiu and Paul R. Cohen. 1999. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 17-21.

Paul R. Cohen and Mary Litch. 1999. What are contentful mental states? Dretske's theory of mental content viewed in the light of robot learning and planning algorithms. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 108-113.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 634-640.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 1998. Learned Models for Continuous Planning. Presented at Uncertainty '99: The Seventh International Workshop on Artificial Intelligence and Statistics, pp. 278-282.

Cohen, Paul R. and Tim Oates. 1998. A Dynamical Basis for the Semantic Content of Verbs. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 5-8.

Rosenstein, Michael T. and Paul R. Cohen. 1998. Symbol Grounding with Delay Coordinates. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 20-21.

Rosenstein, Michael T. 1998. Concepts From Time Series. Abstract. Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 739-745.

Schmill, Matthew D., Michael T. Rosenstein, Paul R. Cohen, and Paul Utgoff. 1998. Learning What is Relevant to the Effects of Actions for a Mobile RobotCopyright, 1998 ACM, Inc. Proceedings of the Second International Conference on Autonomous Agents, pp. 247-253.

Cohen, Paul R., Marc Atkin, Tim Oates, and Beal, Carole R. 1997. Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Proceedings of the First International Conference on Autonomous Agents, pp. 170-177.

Cohen, Paul R. 1997. Projections as Concepts. Proceedings of the 2nd European Conference on Cognitive Science, pp. 56-60.

Rosenstein, Michael T., Paul R. Cohen, Matthew D. Schmill, and Marc Atkin. 1997. Action Representation, Prediction and Concepts. Paper presented at AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control.

Cohen, Paul R. , Tim Oates , and Marc Atkin. 1996. Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment. In AAAI Fall Symposium on Embodied Cognition and Action.Technical Report FS-96-02, pp. 18-23.

Cohen, Paul R., Tim Oates, Marc Atkin, and Beal, Carole R. 1996. Building a Baby. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, pp. 518-522.

Cohen, Paul R., Marc Atkin, Tim Oates and Dawn E. Gregory. 1995. A Representation and Learning Mechanisms for Mental States. In Symposium on Representing Mental States and Mechanisms,AAAI-95 Spring Symposium Series, pp. 15-21. Technical Report 95-53, Dept. of Computer Science, University of Massachusetts/Amherst. 1995.



Data Mining

Aram Galstyan, Paul R. Cohen, Cascading Dynamics in Modular Networks, Physical Review E, 75, 036109, 2007

Aram Galstyan and Paul Cohen (2007) Activity spreading in modular networks NIPS-07 workshop on Statistical Models of Networks, Vancouver, Canada. [pdf]

Aram Galstyan and Paul Cohen (2007) Empirical Comparison of "Hard" and "Soft" Label Propagation for Relational Classification The 9th International Conference on Inductive Logic Programming, ILP-07, Corvalis, Oregon. [pdf]

Carole Beal, Sinjini Mitra, Paul R. Cohen. Modeling learning patterns of students with a tutoring system using Hidden Markov ModelsProceedings of the 13th International Conference on Artificial Intelligence in Education (AIED), Marina del Rey, CA, July 2007

Aram Galstyan, Paul R. Cohen, Cascading Dynamics in Modular Networks, Physical Review E, 75, 036109, 2007

Paul Cohen.   Discovering Threads in Research Papers: Relational Similarity and the PUBTREE Algorithm. To appear in the Proceedings of the the Twentieth International Conference on Artificial Intelligence.


Paul R. CohenNiall Adams, Brent Heeringa.  Voting Experts:  An Unsupervised Algorithm for Segmenting Sequences.  To appear in Journal of Intelligent Data Analysis.

Aram Galstyan. Paul R. Cohen. Relational Classification Through Three--State Epidemic Dynamics. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories. 2006.  

Aram Galstyan. Paul R. Cohen. Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 2005 

Aram Galstyan and Paul Cohen Is guilt by association a bad thing?  First International Conference on Intelligence Analysis.  Washington D.C. 2005.

Aram Galstyan and Paul Cohen. Identifying Covert Sub-Networks Through Iterative Node Classification.  First International Conference on Intelligence Analysis.  Accepted as a poster. Washington D.C. 2005.

Clayton T. Morrison. Paul R. Cohen. The Value of Noisy Information. The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005), Workshop on Utility-Based Data Mining. 2005.

Adibi, J., Cohen, P. and. Morrison, C.  Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach Proceedings of the ACM Special Interest Group on Knowledge Discovery and Data Mining (ACM-SIGKDD-04).

Jesus S. Aguilar-Ruiz, Domingo S. Rodriguez-Baena, Paul R. Cohen, Jose C. Riquelme
Clustering Main Concepts from E-mails. Lecture Notes on Artificial Intelligence  3040, pp. 231-240. 2003.

Sutton, Charles, Brendan Burns, Clayton T. Morrison, Paul R. Cohen. 2003. Guided Incremental Construction of Belief Networks. Fifth International Symposium on Intelligent Data Analysis.

Cohen, Paul R. and Charles Sutton. 2003. Very Predictive Ngrams for Space-Limited Probabilistic Models. Fifth International Symposium on Intelligent Data Analysis.


Brendan Burns and Clayton Morrison.  Temporal abstraction in Bayesian networks,  AAAI Spring Symposium. 2003

Paul R. Cohen, Brent Heeringa, Niall M. Adams.  An Unsupervised Algorithm for Segmenting Categorical Time Series into Episodes. . Proceedings of International Conference on Data Mining. pp. 99-106. Maebashi City.  Japan. 2002. Also appeared  in the Working Notes of the 2002 ESF Exploratory Workshop on Pattern Detection and Discovery in Data Mining.

Oates, Tim. 2002. An Unsupervised Algorithm for Finding Recurring Patterns in Time SeriesInternational Conference on Data Mining. Maebashi City.  Japan. 

Firoiu, Laura and Paul R. Cohen. 2002. Segmenting Time Series with a Hybrid Neural Networks - Hidden Markov Model.The Eighteenth National Conference on Artificial Intelligence.

Cohen, Paul R. 2001. Fluent Learning: Elucidating the Structure of Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Cohen, Paul R and Niall Adams. 2001. An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Provost, Foster, David Jensen and Tim Oates. 1999. Efficient Progressive Sampling. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 23-32.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 1999. Efficient Mining of Statistical Dependencies. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp. 794-799.

Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.

Oates, Tim, Matthew D. Schmill, and Paul R. Cohen. 1997. Parallel and Distributed Search for Structure in Multivariate Time Series. Proceedings of the Ninth European Conference on Machine Learning, pp. 191-198.

Oates, Tim, Matthew D. Schmill, David Jensen, and Paul R. Cohen. 1997. A Family of Algorithms for Finding Temporal Structure in Data. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 371-378.




Empirical Methods and Methodology

Paul Cohen.  Empirical Methods for Artificial Intelligence.  MIT Press. 1995

Paul CohenIf Not Turing's Test, Then What?  AI Magazine.  26 (4). 2006.

Carole R. Beal and Paul R. Cohen. Computational methods for evaluating student and group learning histories in intelligent tutoring systems. 12th International Conference on Artificial Intelligence in Education, July 18-22, 2005, Amsterdam.  2005

Cohen, Paul R, Niall Adams and David J. Hand. 2001. The IDA '01 Robot Data Challenge. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Piater, Justus H., Paul R. Cohen, Xiaoqun Zhang and Michael Atighetchi. 1998. A Randomized ANOVA Procedure for Comparing Performance Curves. Proceedings of the Fifteenth International Conference on Machine Learning, pp. 430-438.

Cohen Paul R. 1996. Getting What You Deserve From Data. IEEE Expert Intelligent Systems & Their Applications, vol.11, no. 5, pp. 12-14.

Gregory, Dawn E., Lixin Gao, Arnold L. Rosenberg, and Paul R. Cohen. 1996. An Empirical Study of Dynamic Scheduling on Rings of Processors. Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, pp. 470-473.

Howe, Adele E. and Paul R. Cohen. 1995. Understanding Planner Behavior. Artificial Intelligence, Special Issue on Planning Systems, vol. 76, nos. 1 & 2, pp. 125-166.

Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen. 1995. Tools for Empirically Analyzing AI Programs. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, FL, pp. 35-41. Technical Report 94-78, Dept. of Computer Science, University of Massachusetts.

Cohen, Paul R., Tom Dean, Yolanda Gil, Matt Ginsberg and Lou Hoebel. 1994. Handbook of Evaluation for the ARPA/Rome Laboratory Planning Initiative. Proceedings of the ARPA/Rome Laboratory Planning Initiative Workshop, M.H. Burstein, Ed. Morgan Kaufmann, pp. 519-536. This document is available in two parts - the main text and an appendix of evaluation criteria. An html version is also available, courtesy of the ARPA/Rome Laboratory Planning Initiative and ISX Corporation.

Hanks, Steven, Martha E. Pollack and Paul R. Cohen. 1993. Benchmarks, Testbeds, Controlled Experimentation, and the Design of Agent Architectures. AI Magazine,14(4): 17-42. Winter issue.

Cohen, Paul R. 1991. A Survey of the Eighth National Conference on Artificial Intelligence: Pulling together or pulling apart?AI Magazine, 12(1), 16-41. Technical Report 91-68, Dept. of Computer Science, University of Massachusetts.

Intelligence Analysis

Aram Galstyan, Paul R. Cohen, Cascading Dynamics in Modular Networks, Physical Review E, 75, 036109, 2007

Aram Galstyan. Paul R. Cohen. Relational Classification Through Three--State Epidemic Dynamics. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories. 2006.  

Clayton T. Morrison. Paul R. Cohen. The Colab Mixed-Initiative Analysis Environment. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories. 2006.   

Clayton T. Morrison. Paul R. Cohen. The Hats Information Fusion Challenge Problem. The 9th International Conference on Information Fusion (Fusion 2006), special session on Distributed Inference and Decision-Making in Multisensor Systems. 2006.

Clayton T. Morrison. Paul R. Cohen. The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment. Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI 2006). LNCS 3975. 2006.

Aram Galstyan. Paul R. Cohen. Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 2005 

Aram Galstyan and Paul Cohen Is guilt by association a bad thing?  First International Conference on Intelligence Analysis.  Washington D.C. 2005.

Aram Galstyan and Paul Cohen. Identifying Covert Sub-Networks Through Iterative Node Classification.  First International Conference on Intelligence Analysis.  Accepted as a poster. Washington D.C. 2005.

Clayton T. Morrison. Paul R. Cohen. The Value of Noisy Information. The Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2005), Workshop on Utility-Based Data Mining. 2005.

Gary. W. King, Matthew Schmill, Andrew Hannon, and Paul CohenAsymmetric Threat Assessment Tool (ATAT). In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (BRIMS) (Orlando, FL, May 2005), L. Allender and T. Kelley, Eds.

Charles Sutton, Clayton Morrison, Paul Cohen,  Joshua Moody, Jafar Adibi.  A Bayesian Blackboard for Information Fusion,  Proceedings of The Seventh International Conference on Information Fusion. 2004.

Sutton, Charles, Brendan Burns, Clayton T. Morrison, Paul R. Cohen. 2003. Guided Incremental Construction of Belief Networks. Fifth International Symposium on Intelligent Data Analysis.

Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.

Howe, Adele E. and Paul R. Cohen. 1994. Detecting and Explaining Dependencies in Execution Traces. Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, pp. 71-77.


Machine Learning


Clayton T. Morrison & Paul R. Cohen. (2007). Designing Experiments to Test Planning Knowledge about Plan-step Order Constraints. Presented at the Workshop on Artificial Intelligence Planning and Learning, in conjunction with the International Conference on Automated Planning and Scheduling (ICAPS-07). [pdf]


Clayton T. Morrison & Paul R. Cohen. (2007). Designing Experiments to Test and Improve Hypothesized Planning Knowledge Derived From Demonstration. In Papers from the 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration. AAAI Press, Technical Report WS-07-02.


Clayton Morrison and Yu-Han Chang and Paul Cohen and Joshua Moody. Experimental State Splitting for Transfer Learning.  ICML 2006 Workshop on Structural Knowledge Transfer for Machine Learning. 2006.

Yu-Han Chang and Clayton Morrison and Wesley Kerr and Paul Cohen and Robert St. Amant.
The Jean SystemInternational Conference on Development and Learning. 2006.

Tim Oates, Paul Cohen, Bill Krueger, Carole Beal, Tom Armstrong. Learning by Doing and Knowledge Transfer.  Accepted as a poster at  Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 

Cohen, Paul R. and Charles Sutton. 2003. Very Predictive Ngrams for Space-Limited Probabilistic Models. Fifth International Symposium on Intelligent Data Analysis.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2001. Bayesian Clustering by Dynamics. Machine Learning, vol. 47 , no. 1, pp. 91-121.

Cohen, Paul R.,Charles Sutton, Brendan Burns. 2002. Learning effects of Robot Actions using Temporal Associations.The 2nd International Conference on Development and Learning (ICDL'02).

Cohen, Paul R. 2001. Fluent Learning: Elucidating the Structure of Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer

Heeringa, Brent and Tim Oates. 2001. Incrementally Learning Parameters of Stochastic Context-Free Grammars using Summary Statistics. Working Notes of the AAAI Fall Symposium Series, pp. 58-63.

King, Gary W. and Tim Oates. 2001. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence.

Kaelbling, Leslie Pack, Tim Oates, Natalia Hernandez and Sarah Finney. 2001. Learning in Worlds with Objects. WorkingNotes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Jensen, David, and Paul R. Cohen. 2000. Multiple Comparisons in Induction Algorithms. Machine Learning, vol. 38, no. 3, pp. 309-338. Abstract.

Ramoni, Marco, Paola Sebastiani and Paul R. CohenBayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Fifth International Workshop on Case Studies in Bayesian Statistics.Lecture Notes in Statistics, Springer, New York, NY, 2000.

Firoiu, Laura. 2000. Rule Induction from Noisy Examples. Presented at AAAI Workshop: Learning Statistical Models from Relational Data.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2000. Multivariate Clustering by Dynamics. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 633-638. AAAI Press/The MIT Press: Menlo Park/Cambridge.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen 2000. Bayesian Clustering by Dynamics. Sequence Learning: Paradigms, Algorithms and Applications.Edited by L. Giles and R. Sun. New York: Springer, pp. 11-34.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 2000. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253.

Cohen, Paul R., Marco Ramoni, and Paola Sebastiani. 2000. Unsupervised Clustering of Robot Activities: A Bayesian Approach. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 134-135. ACM: New York, NY.

Oates, Tim, Matthew Schmill and Paul R. Cohen. 2000. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 110-111. ACM: New York, NY.

Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 1999. Bayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Second European Conference on Highly Structured Stochastic Systems (HSSS-99), Pavia, Italy.

Sebastiani, Paola, Marco Ramoni, Paul R. Cohen, John Warwick and James Davis. 1999. Discovering Dynamics using Bayesian Clustering. Proceedings of the Third Symposium on Intelligent Data Analysis.

Oates, Tim. 1999. Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 322-326.

Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36.

Firoiu, Laura and Paul R. Cohen. 1999. Learning Elements of Representations for Redescribing Robot Experiences. Presented at Third Symposium on Intelligent Data Analysis.

Firoiu, Laura and Paul R. Cohen. 1999. Abstracting from Robot Sensor Data using Hidden Markov Models. Proceedings of the Sixteenth International Conference on Machine Learning, pp. 106-114.

Sebastiani, Paolo, Marco Ramoni and Paul R. Cohen. 1999. Unsupervised Classification of Sensory Input in a Mobile Robot. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 23-28.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 47-53.

Oates, Tim, Laura Firoiu and Paul R. Cohen. 1999. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 17-21.

Jensen, David, Michael Atighetchi, Regis Vincent and Victor R. Lesser. 1999. Learning Quantitive Knowledge for Multiagent Coordination. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 24-31.

Oates, Tim and David Jensen. 1999. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 372-378.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 634-640.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 1998. Learned Models for Continuous Planning. Presented at Uncertainty '99: The Seventh Internatinal Workshop on Artificial Intelligence and Statistics, pp. 278-282.

Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning Regular Languages from Positive Evidence. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society, pp. 350-355.

Oates, Tim, and David Jensen. 1998. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 294-298.

Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning a Deterministic Finite Automaton With a Recurrent Neural Network. ©Springer-Verlag, http://www.springer.de/comp/lncs/ index.html. Proceedings of the Fourth International Colloquium on Grammatical Inference, pp. 90-101.

Utgoff, Paul E. and Paul R. Cohen. 1998. Applicability of Reinforcement Learning. In Methodology of Applying Machine Learning: Problem Definition, Task Decomposition and Technique Selection Workshop, ICML-98, pp. 37-43.

Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.

Cohen, Paul R., and David Jensen. 1997. Overfitting Explained. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 115-122.

Jensen, David, Tim Oates and Paul R. Cohen. 1997. Building Simple Models: A Case Study with Decision Trees. In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 211-222.

Jensen, David. 1997. Adjusting for Multiple Testing in Decision Tree Pruning. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 295-302.

Jensen, David and Matthew D. Schmill. 1997. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. AAAI Press, pp. 195-19

Oates, Tim and David Jensen. 1997. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning, pp. 254-261. An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 379 - 390.

Oates, Tim, Matthew D. Schmill, David Jensen, and Paul R. Cohen. 1997. A Family of Algorithms for Finding Temporal Structure in Data. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 371-378.

Oates, Tim, and Paul R. Cohen. 1996. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. AAAI Press, pp. 863-868.

Oates, Tim, and Paul R. Cohen. 1996. Searching for Structure in Multiple Streams of Data. Proceedings of the Thirteenth International Conference on Machine Learning, pp. 346-354.

Oates, Tim , and Paul R. Cohen. 1996. Learning Planning Operators with Conditional and Probabilistic Effects. In AAAI-96 Spring Symposium on Planning with Incomplete Information for Robot Problems, pp. 86-94.

Oates, Tim, Matthew D. Schmill, Dawn E. Gregory and Paul R. Cohen. 1996. Detecting Complex Dependencies in Categorical Data. Learning from Data: Artificial Intelligence and Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 185-195.

Cohen, Paul R., Dawn E. Gregory, Lisa A. Ballesteros and Robert St. Amant. 1995. Two Algorithms for Inducing Structural Equation Models from Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 129-139. Also Technical Report 94-80, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R. and Tim Oates. 1995. Finding Structure in Streams. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 27-31. Also Technical Report 95-63, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, Dawn E. Gregory, and Paul R. Cohen. 1995. Detecting Complex Dependencies in Categorical Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 417-423. Also Technical Report 94-81, Dept. of Computer Science, University of Massachusetts/Amherst.

Schmill, Matthew D., Tim Oates and Paul R. Cohen. 1995. Tools for Detecting Dependencies in AI Systems. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, pp. 148-155.

Marc Atkin and Paul R. Cohen. 1994. Learning Monitoring Strategies: A Difficult Genetic Programming Application. Proceedings of ICEC '94, World Congress on Computational Intelligence. Technical Report 94-52, Dept. of Computer Science, University of Massachusetts/Amherst

Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Morgan Kaufmann, pp. 445-452.

Lisa Ballesteros. 1994. Regression-Based Causal Induction with Latent Variable Models. Proceedings, Twelfth National Conference on Artificial Intelligence, 1994. AAAI Press/The MIT Press, p. 1426. Extended Abstract.

Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. In Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Technical Report 94-33, Dept. of Computer Science, University of Massachusetts/Amherst.

Gregory, Dawn E. and Paul R. Cohen. 1994. Two Algorithms for Inducing Causal Models from Data. In Knowledge Discovery in Databases Workshop, Twelfth National Conference on Artificial Intelligence, pp. 73-84. Technical Report 94-42 . Department of Computer Science, University of Massachusetts/Amherst.

Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Integrating Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the Sixth IEEE International Conference on Tools with AI, Computer Science Technical Report CS-94-115, Colorado State University.

Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. Selecting Models from Data: AI and Statistics IV.Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Technical Report 94-33, Dept. of Computer Science, University of Massachusetts, 1994.

Howe, Adele E. and Paul R. Cohen. 1994. Detecting and Explaining Dependencies in Execution Traces. Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, pp. 71-77.

Marc Atkin and Paul R. Cohen. 1993. Genetic Programming to Learn an Agent's Monitoring Strategy. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 36-41. Technical Report 93-26, Dept. of Computer Science, University of Massachusetts.

Cohen, Paul R., Adam Carlson, and Lisa Ballesteros. 1993. Automating Path Analysis for Building Causal Models from Data. Proceedings of the Tenth International Conference on Machine Learning. 1993, pp. 57-64. Technical Report 93-38, Dept. of Computer Science, University of Massachusetts, 1993.

Hansen, Eric A. and Paul R. Cohen. 1993. Learning Monitoring Strategies to Compensate for Model Uncertainty. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence, pp. 33-35.


Monitoring

Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.

Marc Atkin and Paul R. Cohen. 1996. Monitoring Strategies for Embedded Agents: Experiments and Analysis. Journal of Adaptive Behavior, vol. 4, issue 2. pp 125-172.

St. Amant, Robert, Yoshitaka Kuwata and Paul R. Cohen. 1995. Monitoring Progress with Dynamic Programming Envelopes. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, pp. 426-433.

Marc Atkin and Paul R. Cohen. 1994. Learning Monitoring Strategies: A Difficult Genetic Programming Application. Proceedings of ICEC '94, World Congress on Computational Intelligence. Technical Report 94-52, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings of the ARPA/Rome Laboratory Knowledge-Based Planning and Scheduling Initiative, Tucson Arizona. Morgan Kaufmann, pp. 15-25.

Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings, From Animals to Animats, the Third International Conference on Simulation of Adaptive Behavior (1994). Technical Report 94-09, Dept. of Computer Science, University of Massachusetts/Amherst.

Marc Atkin and Paul R. Cohen. 1993. Genetic Programming to Learn an Agent's Monitoring Strategy. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 36-41. Technical Report 93-26, Dept. of Computer Science, University of Massachusetts.

Hansen, Eric A. and Paul R. Cohen. 1993. Learning Monitoring Strategies to Compensate for Model Uncertainty. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence, pp. 33-35.






Planning and Simulation


Clayton T. Morrison & Paul R. Cohen. (2007). Designing Experiments to Test Planning Knowledge about Plan-step Order Constraints. Presented at the Workshop on Artificial Intelligence Planning and Learning, in conjunction with the International Conference on Automated Planning and Scheduling (ICAPS-07). [pdf]


Clayton T. Morrison & Paul R. Cohen. (2007). Designing Experiments to Test and Improve Hypothesized Planning Knowledge Derived From Demonstration. In Papers from the 2007 AAAI Workshop on Acquiring Planning Knowledge via Demonstration. AAAI Press, Technical Report WS-07-02.


Clayton T. Morrison. Paul R. Cohen. The Hats Information Fusion Challenge Problem. The 9th International Conference on Information Fusion (Fusion 2006), special session on Distributed Inference and Decision-Making in Multisensor Systems. 2006.

Clayton T. Morrison, Paul R. Cohen, Gary W. King, Joshua Moody and Andrew Hannon Simulating Terrorist Threats in the Hats SimulatorFirst International Conference on Inelligence Analysis.  Washington D.C. 2005.

Gary. W. King, Matthew Schmill, Andrew Hannon, and Paul CohenAsymmetric Threat Assessment Tool (ATAT). In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation (BRIMS) (Orlando, FL, May 2005), L. Allender and T. Kelley, Eds.

Paul R. Cohen and Clayton T. Morrison.  The Hats Simulator.  Proceedings of the 2004 Winter Simulation Conference.

Ken Barker, Jim Blythe, Gary Borchardt, Vinay K. Chaudhri, Peter E. Clark, Paul Cohen, Julie Fitzgerald, Ken Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary King, Sunil Mishra, Ken Murray, Charley Otstott, Bruce Porter, Robert C. Schrag, Tomás Uribe, Jeff Usher, Peter Z. Yeh  A Knowledge Acquisition Tool for Course of Action Analysis  Conference on Innovative Applications of Artificial Intelligence (IAAI) 2003

Gary King, Clayton Morrison, Paul R. CohenAction Models.  Proceedings of the 35th conference on Winter simulation. New Orleans, Louisiana, 2003

King, Gary W., Brent Heeringa, Joe Catalano, David L. Westbrook, and Paul Cohen. Models of Defeat. Proceedings of the Second International Conference on Knowledge Systems for Colation Operations 2002. pp. 85-90.

King, Gary W., Marc Atkin and David L. Westbrook. 2002. Tapir: the Evolution of an Agent Control LanguageFirst Joint Conference of Autonomous Agents and Multiagent Systems.


Gary King, Marc Atkin, David Westbrook, and Paul Cohen.  Tapir: an action language beyond scripting.  In Proceedings of the 3rd International Conference on Computers  and Games , July 2002.

Marc Atkin, Gary W. King, David Westbrook, Brent Heeringa, Andrew Hannon and Paul Cohen. 2000. SPT: Hierarchical Agent Control: A Framework for Defining Agent Behavior. Proceedings of Fifth International Conference on Autonomous Agents, pp. 425-432.

Marc Atkin, David L.Westbrook and Paul Cohen. 2000. Domain-General Simulation and Planning with Physical Schemas. Proceedings of Winter Simulation Conference, pp. 464-470.

Marc Atkin and Paul Cohen. 2000. Using Simulation and Critical Points to Define States in Continuous Search Spaces. Proceedings of Winter Simulation Conference, pp. 1730-1738.

Heeringa, Brent and Paul Cohen. 2000. An Underlying Model for Defeat Mechanisms. Proceedings of Winter Simulation Conference, p. 933.

Heeringa, Brent and Paul Cohen. 2000. An Underlying Model for Defeat Mechanisms. Presented at AAAI Fall Symposium, 2000 Workshop on Simulating Human Agents.

Marc Atkin, David L.Westbrook, and Paul R. Cohen. HAC: A Unified View of Reactive and Deliberative Activity. Working Notes of the European Conference on Artificial Intelligence Workshop, Balancing Reactivity and Social Deliberation in Multi-Agent Systems. Also University of Massachusetts Computer Science Department Technical Report 00-50.

Marc Atkin, Gary King, David L.Westbrook and Paul R. Cohen. 2000. Some Issues in AI Engine Design. Presented at AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment.

Oates, Tim, Matthew Schmill and Paul R. Cohen. 2000. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 110-111. ACM: New York, NY.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253.

Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36.

Marc Atkin, David L. Westbrook and Paul R. Cohen. 1999. Capture the Flag: Military Simulation Meets Computer Games. Presented at AAAI Spring Symposium on AI and Computer Games.

St. Amant, Robert. 1999. Planning and User Interface Affordances. Proceedings of the Fifth International Conference on Intelligent User Interfaces.

Schmill, Matthew D,Tim Oates and Paul R. Cohen. 1998. Learned Models for Continuous Planning. Presented at Uncertainty '99: The Seventh Internatinal Workshop on Artificial Intelligence and Statistics, pp. 278-282.

Marc Atkin and Paul R. Cohen. 1998. Physical Planning and Dynamics. Paper presented at AAAI Fall Symposium on Distributed Continual Planning, pp. 4-9.

Schmill, Matthew D., Michael T. Rosenstein, Paul R. Cohen, and Paul Utgoff. 1998. Learning What is Relevant to the Effects of Actions for a Mobile RobotCopyright, 1998 ACM, Inc. Proceedings of the Second International Conference on Autonomous Agents, pp. 247-253.

Marc Atkin, David L. Westbrook, Paul R. Cohen and Gregory D. Jorstad. 1998. AFS and HAC: Domain-General Agent Simulation and Control. In Workshop on Software Tools for Developing Agents, AAAI-98, pp. 89-95.

Rosenstein, Michael T., Paul R. Cohen, Matthew D. Schmill, and Marc Atkin. 1997. Action Representation, Prediction and Concepts. Paper presented at AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control.

Anderson, Scott D. and Paul R. Cohen. 1996. On-line Planning Simulation. Proceedings of the Third International Conference on Artificial Intelligence Planning Systems, pp. 3-10.

Oates, Tim, and Paul R. Cohen. 1996. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. AAAI Press, pp. 863-868.

St. Amant, Robert, and Paul R. Cohen. 1996. A Planner for Exploratory Data Analysis. Proceedings of the Third International Conference on Artificial Intelligence Planning Systems. AAAI Press, pp. 205-212.

Cohen, Paul R., Scott D. Anderson , and David L. Westbrook. 1996. Simulation for ARPI and the Air Campaign Simulator. In Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative. A. Tate (Ed.). AAAI Press, pp. 113-118.

Cohen, Paul R., Tim Oates, and Robert St. Amant. 1996. Plan Steering and Mixed-Initiative Planning. In Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative. A. Tate (Ed.). AAAI Press, pp. 105-112.

Howe, Adele E. and Paul R. Cohen. 1995. Understanding Planner Behavior. Artificial Intelligence, Special Issue on Planning Systems, vol. 76, nos. 1 & 2, pp. 125-166.

Anderson, Scott D., David M. Hart, David L. Westbrook and Paul R. Cohen. 1995. A Toolbox for Analyzing Programs. International Journal of Artificial Intelligence Tools, vol. 4, nos. 1 & 2, pp. 257-279.

Anderson, Scott D. and Paul R. Cohen. 1995. The Duration of Deliberation.Proceedings of the Workshop on Anytime Algorithms and Deliberation Scheduling, IJCAI-95, pp. 33-37. Technical Report 95-58, Dept. of Computer Science, University of Massachusetts/Amherst.

Anderson, Scott D. and Paul R. Cohen. 1995. Segregating Planners and Their Environments. In Symposium on Integrated Planning Applications, AAAI-95 Spring Symposium Series. Technical Report 95-57, Dept. of Computer Science, University of Massachusetts/Amherst.

Srinivasan, Raghavan and Adele E. Howe. 1995. Comparison of Methods for Improving Search Efficiency in a Partial-Order Planner. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pp. 1620-1626.

St. Amant, Robert and Paul R. Cohen. 1995. A Case Study of Planning for Exploratory Data Analysis. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 1-5. Technical Report 95-56, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, Yoshitaka Kuwata and Paul R. Cohen. 1995. Monitoring Progress with Dynamic Programming Envelopes. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, pp. 426-433.

Kuwata, Yoshitaka, David M. Hart, and Paul R. Cohen. 1994. Steering Traffic Networks. AI in Intelligent Vehicle Highway Systems Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 51-56. Technical Report 94-43, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, and Paul R. Cohen. 1994. Evaluation of a Mixed-Initiative Approach to Schedule Maintenance. Proceedings of the Workshop on AI Approaches to Modeling and Scheduling Manufacturing Processes,IEEE Conference on Tools with Artificial Intelligence. Also Technical Report 95-08. Department of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, and Paul R. Cohen. 1994. Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Tucson, AZ. Also Technical Report 94-31, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim and Paul R. Cohen. 1994. Toward a Plan Steering Agent: Experiments with Schedule Maintenance. Proceedings of the Second International Conference on AI Planning Systems, pp. 134-139. Technical Report 94-02, Dept. of Computer Science, University of Massachusetts/Amherst.

St. Amant, Robert, andPaul R. Cohen. 1994. Toward the Integration of Exploration and Modeling in a Planning Framework. In Knowledge Discovery in Databases Workshop,Twelfth National Conference on Artificial Intelligence, pp. 49-60. Technical Report 94-41, Dept. of Computer Science, University of Massachusetts.

St. Amant, Robert and Paul R. Cohen. 1994. A Planning Representation for Automated Exploratory Data Analysis. In SPIE Proceedings, vol. 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, pp. 44-52. Technical Report 94-18, Dept. of Computer Science, University of Massachusetts.

Cohen, P.R., Robert St. Amant. & David M. Hart, 1992. Early warnings of plan failure, false positives and envelopes: Experiments and a model. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society.Lawrence Erlbaum Associates, Inc, pp. 773-778. Technical Report 92-20, Dept. of Computer Science, University of Massachusetts.

Hart, D.M. & Paul R. Cohen, 1992. Predicting and explaining success and task duration in the Phoenix planner. Proceedings of the First International Conference on AI Planning Systems. Morgan Kaufmann, pp. 106-115. Technical Report 92-19, Dept. of Computer Science, University of Massachusetts.

Howe, A.E. 1992. Analyzing failure recovery to improve planner design. Proceedings of the Tenth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 387-392. Technical Report 92-42, Dept. of Computer Science, University of Massachusetts.

Kuwata, Y., Hart, D.M. & Cohen, P.R. 1992. Steering the execution of a large-scale planning and scheduling system. AAAI-92 SIGMAN Workshop on Knowledge-Based Production Planning, Scheduling & Control, pp. 62-72.

Howe, A.E. & Paul R. Cohen. 1991. Failure recovery: A model and experiments. Proceedings of the Ninth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 801-808.

Cohen, P.R. 1990. Designing and Analyzing Strategies for Phoenix from Models. Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, Katia Sycara (Ed.). Morgan-Kaufman, pp. 9-21.

Hart, D.M., Scott D. Anderson, & Paul R. Cohen 1990. Envelopes as a vehicle for improving the efficiency of plan execution. Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, Katia Sycara (Ed.), Morgan-Kaufmann, pp. 71-76. Technical Report 90-21, Dept. of Computer Science, University of Massachusetts.



Cohen, Paul R., Michael L. Greenberg, David M. Hart, & Adele E. Howe 1989. Trial by fire: Understanding the design requirements for agents in complex environments. AI Magazine.10(3): 32-48.



Semantics


Erin N. Cannon, Paul R. CohenTalk about motion:  The semantic representation of verbs by motion dynamics.  Forthcoming book on Language and Space, edited by Linda Smith. 2006

Robert St. Amant, Clayton T. Morrison, Yu-Han Chang, Paul R. Cohen, and Carole Beal. An Image Schema LanguageThe International Conference on Cognitive Modeling.  2006.  Trieste.

Paul Cohen, Clayton Morrison and Erin Cannon. Maps for Verbs:  The Relationship between Interaction Dynamics and Verb Use.  Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 2005

Clayton Morrison, Erin Cannon and Paul CohenWhen Push Comes to Shove: A Study of the Relation Between Interaction Dynamics and Verb Use,  AAAI Spring Symposium Series, Language Learning: An Interdisciplinary Perspective. 2004

Jesus S. Aguilar-Ruiz, Domingo S. Rodriguez-Baena, Paul R. Cohen, Jose C. Riquelme
Clustering Main Concepts from E-mails. Lecture Notes on Artificial Intelligence  3040, pp. 231-240. 2003.

Brendan Burns, Charles Sutton, Clayton Morrison and Paul Cohen.   Information Theory and Representation in Associative Word Learning,  Proceedings of the Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. 2003

Cohen, Paul R., Tim Oates,Carole R. Beal, Niall Adams. 2002. Contentful Mental States for Robot Baby. To be presented at The Eighteenth National Conference on Artificial Intelligence.

Morrison, Clayton T., Tim Oates and Gary W. King. 2001. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations.

Oates, Tim, Zachary Eyler-Walker and Paul R. Cohen. 2000. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors.Proceedings of the Fourth International Conference on Autonomous Agents, pp. 227-228. ACM: New York, NY

Cohen, Paul R. and Mary Litch. 1999. On Explaining Behavior. Proceedings of the European Conference on Philosophical Psychology.

Paul R. Cohen and Mary Litch. 1999. What are contentful mental states? Dretske's theory of mental content viewed in the light of robot learning and planning algorithms. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 108-113.

Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 634-640.

Cohen, Paul R. 1998. Maps for Verbs. Proceedings of the Information and Technology Systems Conference, Fifteenth IFIP World Computer Congress, pp. 21-33.

Cohen, Paul R. 1998. Dynamic Maps as Representations of Verbs.Proceedings of the 13th Biennial European Conference on Artificial Intelligence, pp. 145-149.

Cohen, Paul R. and Tim Oates. 1998. A Dynamical Basis for the Semantic Content of Verbs. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 5-8.

Rosenstein, Michael T. and Paul R. Cohen. 1998. Symbol Grounding with Delay Coordinates. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 20-21.

Rosenstein, Michael T. 1998. Concepts From Time Series. Abstract. Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 739-745.

Cohen, Paul R. 1997. Projections as Concepts. Proceedings of the 2nd European Conference on Cognitive Science, pp. 56-60.

Rosenstein, Michael T., Paul R. Cohen, Matthew D. Schmill, and Marc Atkin. 1997. Action Representation, Prediction and Concepts. Paper presented at AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control.

Cohen, Paul R., Marc Atkin, Tim Oates and Dawn E. Gregory. 1995. A Representation and Learning Mechanisms for Mental States. In Symposium on Representing Mental States and Mechanisms,AAAI-95 Spring Symposium Series, pp. 15-21. Technical Report 95-53, Dept. of Computer Science, University of Massachusetts/Amherst. 1995.



User interfaces


Beal, Carole R.,Joseph Beck, David Westbrook, and Paul R. Cohen. 2002. Intelligent modeling of the User in Interactive entertainment.  AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment, 2002.

St. Amant, Robert, Christopher Healy, Mark Riedl, Sarat Kocherlakota, David Pegram and Mika Torhola. 2001. Intelligent Visualization in a Planning Situation. Proceedings of International Conference on Intelligent User Interfaces, pp. 153-160.

St. Amant, Robert. Planning Meets User Interface Design: Affordances, Ibots and PUMs .IUI workshop on Planning for Intelligent User Interfaces, 2000.

St. Amant, Robert. Resolving Conflicts in Collaborative Human - Computer Interaction. AAAI Technical Report WS-99-08 (Notes from the Agents' Conflicts workshop.) AAAI Press. 1999.

David A. Pegram, Robert St. Amant, Mark Riedl. An approach to visual interaction in mixed-initiative planning. Paper presented at Mixed-Initiative Intelligence Workshop, AAAI-99

St. Amant, Robert. 1999. Planning and User Interface Affordances. Proceedings of the Fifth International Conference on Intelligent User Interfaces.




















Technical Reports, Commentaries, and Editorials


Cohen, Paul R.., Tim Oates, and Carole Beal. 2002. Robots that Learn Meanings. Submitted to First Joint Conference of Autonomous Agents and Multiagent Systems.

King, Gary W. 2001. LIFT - The LIsp Framework for Testing. University of Massachusetts Computer Science Department Technical Report 01-25.

Cohen, Paul R., Niall Adams and David Hand. 2001. Finding Patterns that Correspond to Episodes. University of Massachusetts Computer Science Department Technical Report 01-11.

Schmill, Matthew and Paul Cohen. 2001. A Motivational System That Drives the Development of Activity. University of Massachusetts Computer Science Department Technical Report 01-12.Cohen,

Paul R. and Carole Beal. 1999. Natural Semantics for a Mobile Robot. University of Massachusetts Computer Science Department Technical Report 00-59.

Cohen, Paul R, Marco Ramoni, Paola Sebastiani and John Warwick. 2000. Unsupervised Clustering of Robot Activities: A Bayesian Approach. University of Massachusetts Computer Science Department Technical Report 00-51.

Cohen, Paul R. 2000. Learning Concepts by Interaction. University of Massachusetts Computer Science Department Technical Report 00-52.

Marc Atkin, David L. Westbrook, Paul R. Cohen. 2000. Planning in Continuous Adversarial Domains. University of Massachusetts Computer Science Department Technical Report 00-17.

Cohen, Paul R., James Davis and John Warwick. 2000. Dynamic Visualization of Battle Simulations. University of Massachusetts Computer Science Department Technical Report 00-16.

Sebastiani, Paola, Marco Ramoni and Paul R. Cohen. 2000. Bayesian Clustering of Sensory Inputs by Dynamics. University of Massachusetts Computer Science Department Technical Report 00-13.

King, Gary and Tim Oates. The Importance of Being Discrete: Learning Actions Through Interaction. University of Massachusetts Computer Science Department Technical Report 00-15.

Marc Atkin. and Paul R. Cohen. 1999. Searching Continuous State Spaces Effectively Using Critical Points. University of Massachusetts Computer Science Deparmtent Technical Report 99-36.

Oates, Tim, Zachary Eyler-Walker and Paul R. Cohen. 1999. Using Syntax to Learn Semantics: An Experiment in Language Acquisition with a Mobile Robot. University of Massachusetts Computer Science Department Technical Report 99-35.

Cohen, Paul R. 1998. Growing Ontologies. Technical Report 98-20, Dept. of Computer Science, University of Massachusetts/Amherst.

Schmill, Matthew D. 1998. A Distributed Approach to Finding Complex Dependencies in Data. Technical Report 98-13, Dept. of Computer Science, University of Massachusetts/Amherst.

Piater, Justus and Paul R. Cohen. 1997. A Randomized ANOVA Procedure for Comparing Performance Curves. Technical Report 97-41, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, David Jensen and Paul R. Cohen. 1997. Automatically Acquiring Rules for Event Correlation from Event Logs. Technical Report 97-14, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., andBruce Porter. 1996. Editorial. Artificial Intelligence, Special Issue on Empirical Methods, vol. 85, Nos. 1-pp. 1-2.

Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 1996. Parallel and Distributed Search for Structure in Multivariate Times Series. Computer Science Department Technical Report 96-23, University of Massachusetts/Amherst.

Anderson, Scott D. 1995. A Simulation Substrate for Real-Time Planning. Ph.D. Thesis, Dept. of Computer Science, University of Massachusetts/Amherst. Also available as Technical Report 95-80. Please contact Deb Bergeron (send her mail) to obtain a copy of this thesis.

Marc Atkin and Paul R. Cohen. 1995. Monitoring in Embedded Agents. Technical Report 95-66, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., and Beal, Carole R. 1995. What Professors Do. Memo.

Oates, Tim. 1995. Fault Identification in Computer Networks: A Review and a New Approach. Technical Report 95-113, Dept. of Computer Science, University of Massachusetts/Amherst.

Schmill, Matthew D. and Paul R. Cohen. 1995. Learning Predictive Generalizations for Multiple Streams: An Incremental Algorithm. Technical Report 95-36, Dept. of Computer Science, University of Massachusetts/Amherst.

Cohen, Paul R., Dawn E. Gregory, and Robert St. Amant. 1994. Regression Can Build Predictive Causal Models. Technical Report 94-15, Dept. of Computer Science, University of Massachusetts/Amherst.

Gregory, Dawn E., and Paul R. Cohen. 1994. Toward a Scientist's Empirical Assistant. Technical Report 94-85, Dept. of Computer Science, University of Massachusetts/Amherst.

Oates, Tim, Prasad, M. V. Nagendra and Lesser, Victor. 1994. Cooperative Information Gathering: a Distributed Problem Solving Approach. Computer Science Department Technical Report 94-66, University of Massachusetts, Amherst. Long version of journal article.

Oates, Tim. 1994. MSDD as a Tool for Classification. Memo 94-29, Experimental Knowledge Systems Laboratory, Department of Computer Science, University of Massachusetts, Amherst.

Oates, Tim and Paul R. Cohen. 1994. Humans Plus Agents Maintain Schedules Better than Either Alone. Technical Report 94-03, Dept. of Computer Science, University of Massachusetts.

St. Amant, RobertYoshitaka Kuwata, and Paul R. Cohen. 1994. Reactive Planning with Dynamic Programming Envelopes.

Westbrook, David L., Scott D. Anderson, David M. Hart, and Paul R. Cohen. 1994. Common Lisp Instrumentation Package: User Manual. Technical Report 94-26, Dept. of Computer Science, University of Massachusetts.

Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen. 1993. Common Lisp Analytical Statistics Package: User Manual. Technical Report 93-55, Dept. of Computer Science, University of Massachusetts/Amhest

Cohen, Paul R. and John B. Kim. 1993. A Bootstrap Test for Comparing Performance of Programs When Data are Censored, and Comparisons to Etzioni's Test. Technical Report 93-52, Dept. of Computer Science, University of Massachusetts, 1993.

Kuwata, Yoshitaka and Paul R. Cohen. 1993. Visualization Tools for Real-Time Search Algorithms Technical Report 93-57. Department of Computer Science, University of Massachusetts.