• Susan L. Epstein. Capitalizing on Conflict: The FORR Architecture. In Proceedings of the Workshop on Computational Architectures for Supporting Machine Learning and Knowledge Acquisition, Ninth International Machine Learning Conference, 1992.
• Susan L. Epstein. The role of memory and concepts in learning. Minds and Machines, 2(3):239–265, 1992. (doi:10.1007/BF02454222)
• Susan L. Epstein, Jack Gelfand, Joanna Lesniak, and Pascal Abadie. The Integration of Visual Cues into a Multiple-Advisor Game-Learning Program. AAAI Technical Report FS-93-02, pages 92–100, 1993.
• Susan L. Epstein. For the right reasons: The FORR architecture for learning in a skill domain. Cognitive Science, 18(3):479–511, 1994. (doi:10.1016/0364-0213(94)90017-5)
• Susan L. Epstein. Identifying the Right Reasons: Learning to Filter Decision Makers. AAAI Technical Report FS-94-02, pages 64–67, 1994.
• Susan L. Epstein. Toward an Ideal Trainer. Machine Learning, 15(3):251–277, 1994. (doi:10.1023/A:1022637925775)
• Susan L. Epstein. Collaboration and Interdependence among Limitedly Rational Agents. In Proceedings of the 1995 AAAI Fall Symposium on Rational Agency, 1995.
• Susan L. Epstein. Learning in the Right Places. Journal of the Learning Sciences, 4(3):281–319, 1995.
• Susan L. Epstein. On Heuristic Reasoning, Reactivity, and Search. In Proceedings of IJCAI-95, pages 454–461, 1995.
• Susan L. Epstein. On the Roles of Repetition in Language Teaching and Learning. In The Proceedings of the Seventeenth Annual Cognitive Science Conference,, 1995. (doi:10.1515/applirev-2012-0009)
• Susan L. Epstein and Jack Gelfand. Learning New Spatially-Oriented Game-Playing Agents through Experience. In Proceedings of the Seventeenth Annual Cognitive Science Conference, pages 562–567, 1995.
• Mary Jo Rattermann and Susan L. Epstein. Skilled like a Person: A Comparison of Human and Computer Game Playing. Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, pages 709–714, 1995.
• Susan L. Epstein. Spatial Representation for Navigation in Animats. Adaptive Behavior, 4(2):85–123, 1996. (doi:10.1177/105971239600400201)
• Susan L. Epstein, Jack Gelfand, and Joanna Lesniak1. Pattern-Based Learning and Spatially Oriented Concept Formation in a Multi-Agent, Decision-Making Expert. Computational Intelligence, 12(1):199–221, 1996. (doi:10.1111/j.1467-8640.1996.tb00259.x)
• Susan L. Epstein. Representation and Reasoning for Pragmatic Navigation. AAAI Technical Report WS-97-11, pages 19–28, 1997.
• Susan L. Epstein. Pragmatic navigation: reactivity, heuristics, and search. Artificial Intelligence, 100(97):275–322, 1998. (doi:10.1016/S0004-3702(97)00083-0)
• Susan L. Epstein. Toward Design as Collaboration. In Proceedings of AAAI, 1998.
• Susan L. Epstein, Jack Gelfand, and Esther Lock. Learning Game-Specific Spatially-Oriented Heuristics. Constraints, 2:239–253, 1998.
• Susan L. Epstein, Jack Gelfand, and Esther Lock. Learning How to Satisfice. In Proceedings of the AAAI Spring Symposium on Satisficing, pages 19–26, 1998.
• Susan L. Epstein, Jack Gelfand, and Warren B. Powell. Integrating Pattern-Based Reasoning in Multimodal Decision Systems. Proceedings of the AAAI Spring Symposium on Multimodal Reasoning, 1998.
• Jack J. Gelfand, Susan L. Epstein, and Warren B. Powell. Integrating Pattern-Based Reasoning in Multimodal Decision Systems. AAAI Technical Report SS-98-04, 1998.
• Susan L. Epstein. Game Playing: The Next Moves. In Proceedings of AAAI, 1999.
• Susan L. Epstein. Building a Worthy Opponent: Simulating Human Play for the Development of Expertise. AAAI Technical Report FS-00-03, pages 15–20, 2000.
• Susan L. Epstein. Learning to Play Expertly: A Tutorial on Hoyle. Machines that learn to play games, pages 153–178, 2001.
• Susan L. Epstein and Eugene C. Freuder. Collaborative Learning for Constraint Solving. In Proceedings of the Seventh International Conference on Principles and Practice of Constraint Programming, 2001.
• Susan L. Epstein, Eugene C. Freuder, Richard Wallace, Anton Morozov, and Bruce Samuels. The Adaptive Constraint Engine. … Practice of Constraint …, pages 525–540, 2002. (doi:10.1007/3-540-46135-3_35)
• S. L. Epstein. A Cognitively-Oriented Architecture Confronts Hard Problems. AAAI, 2004.
• S. L. Epstein. Metaknowledge for Autonomous Systems. In Proceedings of AAAI Spring Symposium on Knowledge Representation and Ontology for Autonomous Systems, 2004.
• Susan L. Epstein and Tiziana Ligorio. Fast and Frugal Reasoning Enhances a Solver for Hard Problems. In Proceedings of the 26th Annual Conference of the Cognitive Science Society, 2004.
• S. L. Epstein. In Support of Pragmatic Computation. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems, 2006.
• Smiljana Petrovic and Susan Epstein. Full Restart Speeds Learning. Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS), pages 104–109, 2006.
• Smiljana Petrovic and Susan Epstein. Relative Support Weight Learning for Constraint Solving. AAAI Workshop on Learning for Search, 2006.
• Susan L. Epstein and Smiljana Petrovic. Learning to solve constraint problems. In ICAPS-07 Workshop on Planning and Learning, 2007.
• Smiljana Petrovic and Susan L. Epstein. Preferences Improve Learning to Solve Constraint Problems. In Proceedings of the Workshop on Preference Handling for Artificial Intelligence at AAAI, volume 7, pages 71–78, 2007.
• Susan L Epstein and Smiljana Petrovic. Learning Expertise with Bounded Rationality and Self-awareness. In Metareasoning: Thinking about Thinking. MIT Press Scholarship Online, 2008.
• Smiljana Petrovic and Susan L. Epstein. Random Subsets Support Learning a Mixture of Heuristics. International Journal on Artificial Intelligence Tools, 17(3):501–520, 2008. (doi:10.1142/S0218213008004023)
• Susan L Epstein. Integrating a Portfolio of Representations to Solve Hard Problems. AAAI Fall Symposium: Multi-Representational Architectures for Human-Level Intelligence, 2009.
• Smiljana V. Petrovic and Susan L Epstein. Tailoring a Mixture of Search Heuristics. Constraint Programming Letters, 4:15–38, 2009.
• S. L. Epstein, Joshua Gordon, Rebecca Passonneau, and Tiziana Ligorio. Toward Spoken Dialogue as Mutual Agreement. Metacognition for Robust Social Systems, pages 14–21, 2010.
• Joshua Gordon and Susan L. Epstein. Learning to balance grounding rationales for dialogue systems. In Proceedings of SIGDIAL Conference, pages 266–271, 2011.
• J. B. Gordon, R. J. Passonneau, and S. L. Epstein. Helping agents help their users despite imperfect speech recognition. AAAI Spring Symposium - Technical Report, 2011.
• E. I. Sklar, S. L. Epstein, S. Parsons, A. T. Ozgelen, J. P. Munoz, and J. Gonzalez. A framework in which robots and humans help each other. In Association for the Advancement of Artificial Intelligence Spring Symposium, pages 54–59, 2011.
• Susan L. Epstein and Smiljana Petrovic. Learning a Mixture of Search Heuristics. Springer Berlin Heidelberg, 2012. (doi:10.1007/978-3-642-21434-9)
• Susan L. Epstein, Rebecca Passonneau, Joshua Gordon, and Tiziana Ligorio. The Role of Knowledge and Certainty in Understanding for Dialogue. In AAAI Fall Symposium: Advances in Cognitive Systems, 2012.
• Susan L. Epstein, Rebecca Passonneau, Tiziana Ligorio, and Joshua Gordon. Data mining to support human-machine dialogue for autonomous agents. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 132–155, 2012. (doi:10.1007/978-3-642-27609-5_10)
• Susan L. Epstein, Eric Schneider, A. Tuna Ozgelen, Pablo J. Munoz, Michael Constantino, Elizabeth I. Sklar, and Simon Parsons. Applying FORR to human/multi-robot teams. Workshop on Human-Agent-Robot Teams (HART) at the Int'l Conf on Human-Robot Interaction (HRI), 2012.
• Smiljana Petrovic, Susan L. Epstein, and Richard J. Wallace. Learning a mixture of search heuristics. Autonomous Search, pages 97–127, 2012. (doi:10.1007/978-3-642-21434-9_5)
• A .Tuna Ozgelen, Eric Schneider, Elizabeth Sklar, Michael Costantino, Susan L. Epstein, and Simon Parsons. A first step toward testing multiagent coordination mechanisms on multi-robot teams. AAMAS Workshop on Autonomous Robots and Multirobot Systems, 2013.
• Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth I. Sklar, and Simon Parsons. Learning Spatial Models for Navigation. In International Workshop on Spatial Information Theory, 2015.
• Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth I. Sklar, and Simon Parsons. Navigation with Learned Spatial Affordances. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society, pages 1–6, 2015.
• Susan L. Epstein, Anoop Aroor, Matthew Evanusa, Elizabeth I. Sklar, and Simon Parsons. Spatial abstraction for autonomous robot navigation. Cognitive Processing, 16(1):215–219, 2015. (doi:10.1007/s10339-015-0713-x)