Books

Paul R. Cohen Niall Adams, Michael Berthold (Eds.). 2010. Advances in Intelligent Data Analysis. . Proceedings of the 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010. Springer-Verlag.

Xiahui Liu, Paul R. Cohen, M. Berthold (Eds.), 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.

Papers

Allegra Cohen, Paul Cohen and Gregory Kiker, ``Modeling Gender Inequity in Household Decision-making'' Proceedings of Social, Cultural, and Behavioral Modeling 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9-12, Springer Lecture Notes in Computer Science, 2019

Paul Cohen, ``Probabilistic Relational Agent-based Models'' Proceedings of Social, Cultural, and Behavioral Modeling 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9-12, Springer Lecture Notes in Computer Science, 2019 arxiv

Nikolich-Zugich, J., D.P. Goldman, P.R. Cohen, D. Cortese, L. Fontana, B.K. Kennedy, M.J. Mohler, S.J. Olshansky, T. Perls, D. Perry, A. Richardson, C. Ritchie, A.M. Wertheimer, R.G.A. Faragher and M.J. Fain. 2015. Preparing for an Aging World: Engaging Biogerontologists, Geriatricians, and the Society J. Gerontol. A Biol. Sci. Med. Sci.

Paul R. Cohen. Harold Cohen and AARON. AI Magazine 2016. DOI:10.1609/aimag.v37i4.2695

Paul R. Cohen. DARPA's Big Mechanism Program. 2015. Physical Biology, 12, 4. IOP Science.

Anh Tran, Jinyan Guan, Thanima Pilantanakitti, Paul Cohen. Action Recognition in the Frequency Domain. 2014/9/2. arXiv preprint arXiv:1409.0908

Anh Tran, Mihai Surdeanu, and Paul Cohen. Extracting Latent Attributes from Video Scenes Using Text as Background Knowledge. In Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM), 2014.

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.

Nathan Dykhuis, Paul Cohen, Yu Han Chang. Simulating Team Formation in Social Networks. Social Computing (SocialCom), 2013 International Conference on, 244-253

Dawson, C. R., Wright, J. B., Rebguns, A., Valenzuela Esc\UTF{00E1}rcega, M., Fried, D., & Cohen, P. R. 2013. A generative probabilistic framework for learning spatial language. Proceedings of the Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics.

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).

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.

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.

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 R. Cohen.  2010. Artificial General Segmentation.  Proceedings of the Conference on Artificial General Intelligence. Lugano, Switzerland, March, 2010. Video of Daniel Hewlett presenting the paper.

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.

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. `

Carole R. Beal and 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.

Paul Cohen. 2007.   Constructing Career Histories: A Case Study in Disentangling the Threads.Proceedings of theTwentieth International Conference on Artificial Intelligence.

Aram Galstyan and 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 Models.  Proceedings of the 13th International Conference on Artificial Intelligence in Education (AIED), Marina del Rey, CA.

Clayton T. Morrison and 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 workshop

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.

Aaron Steinfeld, S. Rachael Bennett, Kyle Cunningham, Matt Lahut, Pablo-Alejandro Quinones, Django Wexler, Dan Siewiorek Jordan Hayes, Paul Cohen, Julie Fitzgerald, Othar Hansson, Mike Pool, Mark Drummond. 2007. Evaluation of an integrated multi-task machine learning system with humans in the loop. Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems.

Paul R. Cohen, Niall Adams and Brent Heeringa. 2006. Voting Experts:An Unsupervised Algorithm for Segmenting Sequences. International Journal on Intelligent Data Analysis,11,6,607--625

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

Paul R. Cohen, Yu-Han Chang, Clayton Morrison. 2006. Learning and Transferring Action Schemas. Proceedings of 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.  In The Spatial Foundations of Cognition and Language, Thinking Through Space. Edited by Kelly S. Mix, Linda B. Smith, and Michael Gasser

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.

Clayton T. Morrison, Paul R. Cohen. 2006. 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 Language.  The International Conference on Cognitive Modeling.  2006.  Trieste.   Clayton Morrison and Yu-Han Chang and Paul R. 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 System.  International 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 System.  Proceedings 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. 

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. 

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

Aram Galstyan and Paul R. 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 Simulator. First 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 R. 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.

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

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

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, Tomas 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.

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

Paul Cohen 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, Louisiana.

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.

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.

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

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

Clayton Morrison, Paul R. Cohen and 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 R. Cohen. 2002 A Probabilistic Approach to Real Time Construction of Memories. Proceedings of the Seventh International Autonomous Systems Conference, Marina del Rey.

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

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

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.

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

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

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

Paul R. Cohen 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

Paul R. Cohen, 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

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

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

Marc Atkin, David Westbrook and Paul R. 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.

Brent Heeringa and Paul R. 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.

Marco Ramoni, 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 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.

Marco Ramoni, 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.

Tim Oates, 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.

Matthew D. Schmill,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.

Paul R. Cohen, 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.

Tim Oates, 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.

Tim Oates, Matthew D. 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.

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

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

Marco Ramoni, 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.

Paola Sebastiani, 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.

Tim Oates, Matthew D. Schmill and Paul R. Cohen. 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.

Paola Sebastiani, 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.

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

Tim Oates, 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.

Paul R. Cohen, Vinay Chaudhri, 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.

Tim Oates, 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.

Paul R. Cohen and Carole R. Beal. 1999. Natural Semantics for a Mobile Robot. In Proceedings of the European Conference on Cognitive Science. 1999. Also Technical Report 00-59, Department of Computer Science, University of Massachusetts, Amherst.

Paul R. Cohen. Growing Ontologies. In Proceedings of The 1999 European Conference on Cognitive Science.

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.

Paul R. Cohen, 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.

Robert St. Amant 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.

Robert St. Amant 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.

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.

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

Paul R. Cohen. 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.

Paul R. Cohen 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.

Michael T. Rosenstein 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.

Tim Oates, 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 Westbrook, Paul 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.

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

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

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

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

Dawn Gregory 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.

Dawn E. Gregory 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.

David Jensen, 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.

Tim Oates, 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.

Tim Oates, 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.

Michael T. Rosenstein, 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.

Robert St. Amant 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.

Robert St. Amant 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.

Robert St. Amant 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.

McGeoch, C.C., Doina Precup, and Paul R. Cohen. 1997. How to Find Big-Oh in Your Data Set (and How Not To). In Advances in Intelligent Data Analysis” (IDA–97) LNCS 1280, pp. 41–52, 1997

Scott D. Anderson 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.

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


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

Paul Cohen, 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.

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

Dawn Gregory, Lixin Gao, Arnold 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. Longer technical report with co-author Miranda Barrows and more experimental findings.

Tim Oates, 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.

Tim Oates, 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.

Tim Oates 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.

Tim Oates, 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.

Robert St. Amant 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.

Robert St. Amant, 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.


Paul R. Cohen, Scott D. Anderson, 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.

Paul R. Cohen, 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.

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

Scott D. Anderson, David M. Hart, David 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.

Scott D. Anderson 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.

Scott D. Anderson 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.

Scott D. Anderson, Adam Carlson, David 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.

Paul R. Cohen, 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.

Paul R. Cohen 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.

Paul R. Cohen, 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.

Tim Oates, 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.

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.

Robert St. Amant 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.

Robert St. Amant 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.

Robert St. Amant 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.

Robert St. Amant, 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.

Scott Anderson, , Adam Carlson, David 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.

Paul R. Cohen, 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.

Adele E. Howe, 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.

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.

Paul R. Cohen, 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.

Dawn E. Gregory 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.

Adele E. Howe, 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.

Tim Oates 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.


Tim Oates 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.

Tim Oates 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.

Robert St. Amant and Paul 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.

Robert St. Amant 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.

Robert St. Amant 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., 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.

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.

Paul R. Cohen, 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.

Paul R. Cohen, Robert St. Amant and 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.

David M. Hart and 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.

A. Howe, P Cohen. 1992. Isolating dependencies on failure by analyzing execution traces. AIPS-92: Proc. of the First International Conference on Artificial Intelligence in Planning. James Hendler (Ed.) Morgan-Kaufman.

David M. Hart and Paul R. Cohen. 1992. Predicting and Explaining Success and Task Duration. AIPS-92: Proc. of the First International Conference on Artificial Intelligence in Planning. James Hendler (Ed.) Morgan-Kaufman.

Yoshitaka Kuwata, David Hart and Paul R. Cohen. 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.

Paul R. Cohen. 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.

Adele E. Howe and 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.

Adele E. Howe, David M. Hart, and Paul R. Cohen. Addressing Real-Time Constraints in the Design of Autonomous Agents. The Journal of Real-Time Systems, Vol. 1, pp. 81-97, 1990.

Adele Howe and Paul R. Cohen. 1990. Steps Toward Automating Decision Making. Information and Decision Technologies, Vol. 16, pp. 161-182.

Paul R. Cohen. 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.

David M. Hart, Scott Anderson and 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.

Gerald M. Powell and Paul R. Cohen. 1990. Operational Planning and Monitoring with Envelopes. In Proceedings of the IEEE Fifth Annual AI Systems in Government Conference. Washington, D.C., 1990.

Paul R. Cohen, Michael L. Greenberg, David Hart and Adele E. Howe1989. Trial by fire: Understanding the Design Requirements for Agents in Complex Environments. AI Magazine.10(3): 32-48.

Cynthia L. Loiselle and Paul R. Cohen. 1989. Explorations in the Contributors to Plausibility. Proceedings of the Eleventh Annual National Cognitive Science Conference, Ann Arbor, Michigan, 1989.

Paul R. Cohen and Cynthia L. Loiselle. 1988. Beyond ISA: Structures for Plausible Inference in Semantic Networks. AAAI 1988.

Paul R. Cohen and Adele E. Howe. 1988. How Evaluation Guides AI Research. AI Magazine, Winter, 1988. Vol. 9, No. 4, pp. 35-43. Reprinted in A Sourcebook of Applied Artificial Intelligence, Gerald Hopple and Stephen Andriole, Eds. TAB Books, Inc.

Paul R. Cohen and Adele Howe. 1988. Toward AI Research Methodology: Three Case Studies. IEEE Transactions on Systems, Man and Cybernetics. Vol. 19, No. 3. pp. 634-646.

Paul R. Cohen, Jefferson DeLisio, David Hart. 1988. A Declarative Representation of Control Knowledge. IEEE Transactions on Systems, Man and Cybernetics. Vol. 19, No. 3. pp. 546-557.

Paul R. Cohen and David S. Day. 1988. The Centrality of Autonomous Agents in Theories of Action Under Uncertainty. International Journal of Approximate Reasoning. Fall, 1988.

Mark E. Orelup, John R. Dixon, Paul R. Cohen, and Melvin K. Simmons. 1988. Dominic II: Meta-Level Control in Iterative Redesign. Proceedings of AAAI-88 Seventh National Conference on Artificial Intelligence. Morgan-Kaufmann Publishers, Inc., pp. 25-30.

W.B. Croft, T.J. Lucia, and P.R. Cohen. 1988. Retrieving Documents By Plausible Inference: A Preliminary Study. Proceedings of the 10th ACM SIGIR Conference on Research and Development on Information Retrieval. Grenoble, Switzerland.

Adele Howe and Paul R. Cohen. 1987. A Typology for Constructing Decisions. Proceedings of IEEE Conference on Computers and Communications. Phoenix AZ, pp. 571-575.

Thomas Gruber and Paul R. Cohen. 1987. Knowledge Engineering Tools at the Architecture Level. Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, Italy, August 1987.

Paul R. Cohen. 1987. Steps toward programs that manage uncertainty. In Proceedings of the Uncertainty in AI Workshop. University of Washington, Seattle, July 10-12, 1987. Pp. 372-379

Rick Kjeldsen and Paul R. Cohen. 1987. The Evolution and Performance of the GRANT System. IEEE Expert. Vol. 2, No. 2, pp. 73-79.

Paul R. Cohen, Philip Stanhope, and Rick Kjeldsen. 1986. Classification by Semantic Matching. Proceedings of IEEE Conference on Computers and Communications. Phoenix AZ, February 1987, pp. 566-570.

Paul R. Cohen, David Day, Jeff De Lisio, Michael Greenberg, Rick Kjeldsen, Dan Suthers and Paul Berman. Management of Uncertainty in Medicine. Proceedings of IEEE Conference on Computers and Communications. Phoenix AZ, February 1987. Published in expanded form in International Journal of Approximate Reasoning, Vol. 1, No. 1, pp. 103-116.

Paul R. Cohen and Rick Kjeldsen. 1987. Information Retrieval by Constrained Spreading Activation. Information Processing and Management. Vol. 23, No. 4, pp. 255-268.

Paul R. Cohen, Glenn Shafer, and Prakash P. Shenoy. 1987. Modifiable Combining Functions. AI-EDAM (Artificial Intelligence for Engineering Design and Manufacturing). Vol. 1, No. 1, pp. 47-57.

Paul R. Cohen. 1987. The Control of Reasoning Under Uncertainty: A Discussion of Some Programs. The Knowledge Engineering Review. Vol. 2, No. 1, pp. 5-25. Reprinted in Readings in Uncertain Reasoning, Glenn Shafer and Judea Pearl (Eds.). Morgan-Kaufmann, Inc. 1990.

Thomas Gruber and Paul Cohen. 1986. Design for Acquisition: Principles of Knowledge System Design to Facilitate Knowledge Acquisition. International Journal of Man-Machine Studies. Vol. 26. pp. 143-159.

Adele Howe, Paul R. Cohen, John Dixon and Melvin Simmons. 1986. DOMINIC: A Domain-Independent Program for Mechanical Engineering Design. Journal of Artificial Intelligence in Engineering, April, 1986.

J.R. Dixon, A.E. Howe, P.R. Cohen, and M.K. Simmons. 1986. DOMINIC I: Progress Towards Domain Independence in Design by Iterative Redesign. Proceedings of the ASME Computers in Engineering Conference. July 1986, Chicago, IL.

Paul R. Cohen and Philip M. Stanhope. 1986. Finding Research Funds with the GRANT System. Pro- ceedings of the 6th International Conference on Expert Systems and Their Applications. April 1986, Avignon, France, pp. 1167-1182.

Paul R. Cohen, Alvah Davis, David Day, Michael Greenberg, Rick Kjeldsen, Susan Lander and Cynthia Loiselle. 1985. Representativeness and Uncertainty in Classification Systems. AI Magazine, Fall 1985.

Michael Sullivan and Paul R. Cohen. 1985. An Endorsement-Based Plan Recognition Program. Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Los Angeles, August 1985, pp. 475-479. Reprinted in Readings in Uncertain Reasoning, Glenn Shafer and Judea Pearl, Morgan- Kaufmann Publishers, Inc., 1990.

Paul R. Cohen. 1985. Numeric and Symbolic Reasoning About Uncertainty in Expert Systems. Proceedings of 7th European Conference on AI, July 1986, Brighton, England. Also in Advances in Artificial Intelligence-II. DuBoulay, Hogg, and Steels (Eds.) North Holland, 1987. Pp. 527-541.

Paul R. Cohen. 1984. Progress Report on the Theory of Endorsements: A Heuristic Approach to Reasoning About Uncertainty. Proceedings of IEEE Conference on Principles of Knowledge Based Systems, Denver, Dec. 1984, pp. 139-142.

Paul R. Cohen and Milton R. Grinberg. 1983. A Theory of Heuristic Reasoning about Uncertainty. AI Magazine, Spring-Summer, 1983.

Paul R. Cohen and Mark D. Lieberman. 1983. A Report on FOLIO: An Expert Assistant for Portfolio Managers. Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe Germany, August 1983, pp. 212-215.

Paul R. Cohen and Milton Grinberg. 1983. A theory of heuristic reasoning about uncertainty. Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe Germany, August 1983, pp. 355-358.

Gordon H Bower, Paul R Cohen. 1982. Emotional influences in memory and thinking: Data and theory. Affect and cognition: The seventeenth annual Carnegie symposium on cognition MS Clark, ST Fiske (Eds.) Psychology Press

Refereed Extended Abstracts and Posters

Tim Oates, Paul R. 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. 

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

Tim Oates, Matthew Schmill, 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.

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.

Dawn E. Gregory 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.

Adele E. Howe and Paul R. Cohen. Debugging Plan Failures by Analyzing Execution Traces

Reports and non-refereed publications

Paul Cohen and Carole Beal. 2008. LGIST: Learning Generalized Image Schemas for Transfer. AFRL Technical Report. AFRL-RH-WP-TR-2008-0041

Paul Cohen and Yu Han Chang. 2008. STATE SPACES FOR CONTINUOUS, SPATIAL, AND ADVERSARIAL BATTLE MANAGEMENT. AFRL-RI-RS-TR-2008-113 Final Technical Report.

A. Bertozzi, P. Cohen, A. Galstyan, G. Medioni, C. Papadopolous, B. Rozovsky, A. Tartakovsky, and V. Veeravalli. 2006. SPATIO-TEMPORAL NONLINEAR FILTERING WITH APPLICATIONS TO INFORMATION ASSURANCE AND COUNTER TERRORISM.

Paul R. Cohen, Wesley Kerr, Daniel Hewlett, Shane Hoversten, Yu-Han Chang. 2008. Language Games in Wubble World: Final Report

Paul R. Cohen, David Day, Jeff Delisio, Mike Greenberg, Thomas Gruber, David Hart, Adele Howe, Cynthia Loiselle. 1987. Theory of Endorsements and Reasoning with Uncertainty

Paul R. Cohen, David M. Hart. The Control of Reasoning Under Uncertainty