Ron Sun

Richard P. Gabriel, Tim Finin, Ron Sun: David L Waltz, in Memoriam. AI Magazine 33(4): 19-21 (2012)

Ron Sun, Sébastien Hélie: Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture. IJCNN 2012: 1-8

Ron Sun, Nick Wilson, Robert C. Mathews: Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture. Cognitive Computation 3(2): 341-359 (2011)

Sébastien Hélie, Ron Sun: How the core theory of CLARION captures human decision-making. IJCNN 2011: 173-180

Ron Sun, Nick Wilson, Robert C. Mathews: Mental disorders within a cognitive architecture. IJCNN 2011: 378-385

Michael F. Lynch, Ron Sun, Nicholas R. Wilson: CLARION as a Cognitive Framework for Intelligent Virtual Agents. IVA 2011: 460-461

Sébastien Hélie, Ron Sun: Creative problem solving: A CLARION theory. IJCNN 2010: 1-7

Yiyu Yao, Ron Sun, Tomaso Poggio, Jiming Liu, Ning Zhong, Jimmy Huang (Eds.): Brain Informatics, International Conference, BI 2010, Toronto, ON, Canada, August 28-30, 2010. Proceedings. Lecture Notes in Computer Science 6334, Springer 2010, isbn 978-3-642-15313-6

Ron Sun: Motivational Representations within a Computational Cognitive Architecture. Cognitive Computation 1(1): 91-103 (2009)

Ron Sun: Theoretical status of computational cognitive modeling. Cognitive Systems Research 10(2): 124-140 (2009)

Ron Sun, Xi Zhang, Robert C. Mathews: Capturing human data in a letter counting task: Accessibility and action-centeredness in representing cognitive skills. Neural Networks 22(1): 15-29 (2009)

Nicholas R. Wilson, Ron Sun, Robert C. Mathews: A motivationally-based simulation of performance degradation under pressure. Neural Networks 22(5-6): 502-508 (2009)

Sébastien Hélie, Ron Sun: Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model. IJCNN 2009: 1199-1205

Ron Sun, Isaac Naveh: Cognitive simulation of academic science. IJCNN 2009: 3011-3017

David G. Brown, Jennie Si, Ron Sun: Special Issue on Advances in Neural Networks Research: IJCNN'07. Neural Networks 21(2-3): 113 (2008)

Ron Sun, Selmer Bringsjord: Cognitive Systems and Cognitive Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008

Ron Sun: Cognitive Social Simulation Incorporating Cognitive Architectures. IEEE Intelligent Systems 22(5): 33-39 (2007)

Ron Sun: The importance of cognitive architectures: an analysis based on CLARION. J. Exp. Theor. Artif. Intell. 19(2): 159-193 (2007)

Ron Sun, Xi Zhang, Paul Slusarz, Robert C. Mathews: The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction. Neural Networks 20(1): 34-47 (2007)

L. Andrew Coward, Ron Sun: Hierarchical approaches to understanding consciousness. Neural Networks 20(9): 947-954 (2007)

Ron Sun: The Challenges of Building Computational Cognitive Architectures. Challenges for Computational Intelligence 2007: 37-60

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Doug Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve Young, Dmitry Zelenko: Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Magazine 27(4): 92-102 (2006)

Isaac Naveh, Ron Sun: A cognitively based simulation of academic science. Computational & Mathematical Organization Theory 12(4): 313-337 (2006)

Ron Sun, Xi Zhang, Robert C. Mathews: Modeling meta-cognition in a cognitive architecture. Cognitive Systems Research 7(4): 327-338 (2006)

Ron Sun, Xi Zhang: Accounting for a variety of reasoning data within a cognitive architecture. J. Exp. Theor. Artif. Intell. 18(2): 169-191 (2006)

Ron Sun: Cognitive Architectures and the Challenge of Cognitive Social Simulation. WImBI 2006: 190-204

Dehu Qi, Ron Sun: Learning to cooperate in solving the traveling salesman problem. Int. J. Neural Syst. 15(1-2): 151-162 (2005)

Ron Sun: Cognitive Architectures and Multi-agent Social Simulation. PRIMA 2005: 7-21

Andrzej Skowron, Jean-Paul A. Barthès, Lakhmi C. Jain, Ron Sun, Pierre Morizet-Mahoudeaux, Jiming Liu, Ning Zhong (Eds.): Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, Compiegne, France, September 19-22, 2005. IEEE Computer Society 2005, isbn 0-7695-2416-8

Ron Sun, Xi Zhang: Top-down versus bottom-up learning in cognitive skill acquisition. Cognitive Systems Research 5(1): 63-89 (2004)

Ning Zhong, Jiming Liu, Ron Sun: Intelligent agents and data mining for cognitive systems. Cognitive Systems Research 5(3): 169-170 (2004)

Ron Sun, Isaac Naveh: Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model. J. Artificial Societies and Social Simulation 7(3) (2004)

Ron Sun, Dehu Qi: Learning Cooperation through Bidding. AAMAS 2004: 1290-1291

Dehu Qi, Ron Sun: A Comparison of Team Evolution Operators. IAT 2004: 369-372

Ron Sun, Dehu Qi: Learning Team Cooperation. ICONIP 2004: 573-578

Dehu Qi, Ron Sun: Cooperative Agents Through Bidding. IRI 2004: 444-449

Dehu Qi, Ron Sun: A multi-agent system integrating reinforcement learning, bidding and genetic algorithms. Web Intelligence and Agent Systems 1(3-4): 187-202 (2003)

Dehu Qi, Ron Sun: Integrating Reinforcement Learning, Bidding and Genetic Algorithms. IAT 2003: 53-59

Ron Sun: Duality of the mind - a bottom-up approach toward cognition. Lawrence Erlbaum 2001, isbn 978-0-8058-3880-0, pp. I-XIV, 1-283

Stefan Wermter, Ron Sun: The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. AI Magazine 22(1): 123-126 (2001)

Ron Sun, Edward Merrill, Todd Peterson: From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cognitive Science 25(2): 203-244 (2001)

Ron Sun: Computation, reduction, and teleology of consciousness. Cognitive Systems Research 1(4): 241-249 (2001)

Ron Sun: Individual action and collective function: From sociology to multi-agent learning. Cognitive Systems Research 2(1): 1-3 (2001)

Ron Sun, C. Lee Giles: Sequence Learning: From Recognition and Prediction to Sequential Decision Making. IEEE Intelligent Systems 16(4): 67-70 (2001)

Antony Browne, Ron Sun: Connectionist inference models. Neural Networks 14(10): 1331-1355 (2001)

Ron Sun: Introduction to Sequence Learning. Sequence Learning 2001: 1-10

Ron Sun, Chad Sessions: Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning. Sequence Learning 2001: 241-263

Ron Sun, C. Lee Giles (Eds.): Sequence Learning - Paradigms, Algorithms, and Applications. Lecture Notes in Computer Science 1828, Springer 2001, isbn 3-540-41597-1

Ron Sun, Chad Sessions: Learning Plans without a priori Knowledge. Adaptive Behaviour 8(3-4): 225-253 (2000)

Ron Sun, Chad Sessions: Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors. IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(3): 403-418 (2000)

Ron Sun: Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences. ICMAS 2000: 445-446

Ron Sun: Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. IJCNN (2) 2000: 105-112

Ron Sun, Dehu Qi: Rationality Assumptions and Optimality of Co-learning. PRIMA 2000: 61-75

Stefan Wermter, Ron Sun (Eds.): Hybrid Neural Systems, revised papers from a workshop held December 4-5, 1998, Denver, USA. Lecture Notes in Computer Science 1778, Springer 2000, isbn 3-540-67305-9

Ron Sun, Todd Peterson, Edward Merrill: A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making. Appl. Intell. 11(1): 109-127 (1999)

Ron Sun, Vasant Honavar, Gregg C. Oden: Integration of cognitive systems across disciplinary boundaries. Cognitive Systems Research 1(1): 1-3 (1999)

Ron Sun, Todd Peterson: Multi-agent reinforcement learning: weighting and partitioning. Neural Networks 12(4-5): 727-753 (1999)

Ron Sun, Chad Sessions: Bidding in Reinforcement Learning: A Paradigm for Multi-Agent Systems. Agents 1999: 344-345

Ron Sun, Charles X. Ling: Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Magazine 19(2): 113-120 (1998)

Ron Sun, Todd Peterson: Some Experiments with a Hybrid Model for Learning Sequential Decision Making. Inf. Sci. 111(1-4): 83-107 (1998)

Ron Sun, Todd Peterson: Autonomous learning of sequential tasks: experiments and analyses. IEEE Transactions on Neural Networks 9(6): 1217-1234 (1998)

Stefan Wermter, Ron Sun: An Overview of Hybrid Neural Systems. Hybrid Neural Systems 1998: 1-13

Ron Sun: Supplementing Neural Reinforcement Learning with Symbolic Methods. Hybrid Neural Systems 1998: 333-347

Ron Sun, Todd Peterson: Automatic Partitioning for Multi-Agent Reinforcement Learning. ICONIP 1998: 268-271

Ron Sun: Learning, action and consciousness: a hybrid approach toward modelling consciousness. Neural Networks 10(7): 1317-1331 (1997)

Ron Sun: Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration. AI Magazine 17(2): 99-103 (1996)

Ron Sun: Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning. Artif. Intell. 75(2): 241-295 (1995)

Ron Sun: Schemas, Logics, and Neural Assemblies. Appl. Intell. 5(2): 83-102 (1995)

Ron Sun: Structuring Knowledge In Vague Domains. IEEE Trans. Knowl. Data Eng. 7(1): 120-136 (1995)

Ron Sun: A Microfeature Based Approach Towards Metaphor Interpretation. IJCAI 1995: 424-431

Ron Sun: Integrating rules and connectionism for robust commonsense reasoning. Sixth-generation computer technology series, Wiley 1994, isbn 978-0-471-59324-9, pp. I-XVII, 1-273

Ron Sun, Lawrence A. Bookman: How Do Symbols and Networks Fit Together - A Report from the Workshop on Integrating Neural and Symbolic Processes. AI Magazine 14(2): 20-23 (1993)

Ron Sun: Similarity in Cognition: A Review of Similarity and Analogical Reasoning. AI Magazine 14(4): 81-84 (1993)

Ron Sun: Beyond associative memories: Logics and variables in connectionist models. Inf. Sci. 70(1-2): 49-73 (1993)

Ron Sun: An efficient feature-based connectionist inheritance scheme. IEEE Transactions on Systems, Man, and Cybernetics 23(2): 512-522 (1993)

Ron Sun: Integrating Rules and Connectionism for Robust Reasoning. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 372