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ORCIDRon Sun
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- affiliation: Rensselaer Polytechnic Institute, Troy, USA
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2020 – today
- 2024
[i1]Ron Sun:
Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa? CoRR abs/2401.10444 (2024)- 2022
- [j59]Ron Sun, Sergei Bugrov, David Yun Dai:
A unified framework for interpreting a range of motivation-performance phenomena. Cogn. Syst. Res. 71: 24-40 (2022) - 2021
- [j58]Nicholas R. Wilson, Ron Sun:
A Mechanistic Account of Stress-Induced Performance Degradation. Cogn. Comput. 13(1): 207-227 (2021) - 2020
- [j57]Ron Sun:
Potential of full human-machine symbiosis through truly intelligent cognitive systems. AI Soc. 35(1): 17-28 (2020)
2010 – 2019
- 2019
- [j56]Marjorie McShane, Selmer Bringsjord, James A. Hendler
, Sergei Nirenburg, Ron Sun:
A Response to Núñez et al.'s (2019) "What Happened to Cognitive Science?". Top. Cogn. Sci. 11(4): 914-917 (2019) - 2018
- [j55]Ron Sun:
Why is a computational framework for motivational and metacognitive control needed? J. Exp. Theor. Artif. Intell. 30(1): 13-37 (2018) - [j54]Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang:
Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks 107: 1-2 (2018) - [c39]Can Serif Mekik, Ron Sun, David Yun Dai:
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence. IJCAI 2018: 1576-1582 - 2017
- [j53]Ron Sun:
Anatomy of the Mind: a Quick Overview. Cogn. Comput. 9(1): 1-4 (2017) - 2016
- [j52]Ron Sun, Nick Wilson, Michael F. Lynch:
Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture. Cogn. Comput. 8(1): 1-14 (2016) - [c38]Joseph Allen, Ron Sun:
Emotion contagion in a cognitive architecture. SSCI 2016: 1-8 - 2015
- [c37]John Licato, Nick Marton, Boning Dong, Ron Sun, Selmer Bringsjord:
Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture. AIC 2015: 29-39 - [p4]Sébastien Hélie, Ron Sun:
Cognitive Architectures and Agents. Handbook of Computational Intelligence 2015: 683-696 - 2014
- [j51]Ron Sun, Nicholas R. Wilson:
A model of personality should be a cognitive architecture itself. Cogn. Syst. Res. 29-30: 1-30 (2014) - [c36]John Licato, Ron Sun, Selmer Bringsjord:
Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture. AIC 2014: 27-38 - [c35]John Licato, Ron Sun, Selmer Bringsjord:
Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task. CogSci 2014 - [c34]Nicholas R. Wilson, Ron Sun:
Coping with Bullying: A Computational Emotion-Theoretic Account. CogSci 2014 - [c33]John Licato, Ron Sun, Selmer Bringsjord:
Structural representation and reasoning in a hybrid cognitive architecture. IJCNN 2014: 891-898 - 2013
- [j50]Ron Sun:
Moral Judgment, Human Motivation, and Neural Networks. Cogn. Comput. 5(4): 566-579 (2013) - [j49]Ron Sun, Sébastien Hélie:
Psychologically realistic cognitive agents: taking human cognition seriously. J. Exp. Theor. Artif. Intell. 25(1): 65-92 (2013) - 2012
- [j48]Richard P. Gabriel, Tim Finin, Ron Sun:
David L Waltz, in Memoriam. AI Mag. 33(4): 19-21 (2012) - [c32]Ron Sun, Sébastien Hélie:
Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture. IJCNN 2012: 1-8 - 2011
- [j47]Ron Sun, Nick Wilson, Robert C. Mathews:
Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture. Cogn. Comput. 3(2): 341-359 (2011) - [c31]Sébastien Hélie, Ron Sun:
How the core theory of CLARION captures human decision-making. IJCNN 2011: 173-180 - [c30]Ron Sun, Nick Wilson, Robert C. Mathews:
Mental disorders within a cognitive architecture. IJCNN 2011: 378-385 - [c29]Michael F. Lynch, Ron Sun, Nicholas R. Wilson:
CLARION as a Cognitive Framework for Intelligent Virtual Agents. IVA 2011: 460-461 - 2010
- [c28]Sébastien Hélie, Ron Sun:
Creative problem solving: A CLARION theory. IJCNN 2010: 1-7 - [e4]Yiyu Yao, Ron Sun, Tomaso A. Poggio, Jiming Liu, Ning Zhong, Jimmy X. Huang:
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 [contents]
2000 – 2009
- 2009
- [j46]Ron Sun:
Motivational Representations within a Computational Cognitive Architecture. Cogn. Comput. 1(1): 91-103 (2009) - [j45]Ron Sun:
Theoretical status of computational cognitive modeling. Cogn. Syst. Res. 10(2): 124-140 (2009) - [j44]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) - [j43]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) - [c27]Sébastien Hélie, Ron Sun:
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model. IJCNN 2009: 1199-1205 - [c26]Ron Sun, Isaac Naveh:
Cognitive simulation of academic science. IJCNN 2009: 3011-3017 - 2008
- [j42]David G. Brown, Jennie Si, Ron Sun:
Special Issue on Advances in Neural Networks Research: IJCNN'07. Neural Networks 21(2-3): 113 (2008) - [p3]Ron Sun, Selmer Bringsjord:
Cognitive Systems and Cognitive Architectures. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j41]Ron Sun:
Cognitive Social Simulation Incorporating Cognitive Architectures. IEEE Intell. Syst. 22(5): 33-39 (2007) - [j40]Ron Sun:
The importance of cognitive architectures: an analysis based on CLARION. J. Exp. Theor. Artif. Intell. 19(2): 159-193 (2007) - [j39]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) - [j38]L. Andrew Coward, Ron Sun:
Hierarchical approaches to understanding consciousness. Neural Networks 20(9): 947-954 (2007) - [p2]Ron Sun:
The Motivational and Metacognitive Control in CLARION. Integrated Models of Cognitive Systems 2007: 63-75 - [p1]Ron Sun:
The Challenges of Building Computational Cognitive Architectures. Challenges for Computational Intelligence 2007: 37-60 - 2006
- [j37]Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. 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 J. Young, Dmitry Zelenko:
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27(4): 92-102 (2006) - [j36]Isaac Naveh, Ron Sun:
A cognitively based simulation of academic science. Comput. Math. Organ. Theory 12(4): 313-337 (2006) - [j35]Ron Sun, Xi Zhang, Robert C. Mathews:
Modeling meta-cognition in a cognitive architecture. Cogn. Syst. Res. 7(4): 327-338 (2006) - [j34]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) - [c25]Ron Sun:
Cognitive Architectures and the Challenge of Cognitive Social Simulation. WImBI 2006: 190-204 - 2005
- [j33]Dehu Qi, Ron Sun:
Learning to cooperate in solving the traveling salesman problem. Int. J. Neural Syst. 15(1-2): 151-162 (2005) - [c24]Ron Sun:
Cognitive Architectures and Multi-agent Social Simulation. PRIMA 2005: 7-21 - [e3]Andrzej Skowron, Jean-Paul A. Barthès, Lakhmi C. Jain, Ron Sun, Pierre Morizet-Mahoudeaux, Jiming Liu, Ning Zhong:
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 [contents] - 2004
- [j32]Ron Sun, Xi Zhang:
Top-down versus bottom-up learning in cognitive skill acquisition. Cogn. Syst. Res. 5(1): 63-89 (2004) - [j31]Ning Zhong, Jiming Liu, Ron Sun:
Intelligent agents and data mining for cognitive systems. Cogn. Syst. Res. 5(3): 169-170 (2004) - [j30]Ron Sun, Isaac Naveh:
Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model. J. Artif. Soc. Soc. Simul. 7(3) (2004) - [c23]Ron Sun, Dehu Qi:
Learning Cooperation through Bidding. AAMAS 2004: 1290-1291 - [c22]Dehu Qi, Ron Sun:
A Comparison of Team Evolution Operators. IAT 2004: 369-372 - [c21]Ron Sun, Dehu Qi:
Learning Team Cooperation. ICONIP 2004: 573-578 - [c20]Dehu Qi, Ron Sun:
Cooperative Agents Through Bidding. IRI 2004: 444-449 - 2003
- [j29]Dehu Qi, Ron Sun:
A multi-agent system integrating reinforcement learning, bidding and genetic algorithms. Web Intell. Agent Syst. 1(3-4): 187-202 (2003) - [c19]Dehu Qi, Ron Sun:
Integrating Reinforcement Learning, Bidding and Genetic Algorithms. IAT 2003: 53-59 - 2001
- [b2]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 - [j28]Stefan Wermter, Ron Sun:
The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. AI Mag. 22(1): 123-126 (2001) - [j27]Ron Sun, Edward Merrill, Todd Peterson:
From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cogn. Sci. 25(2): 203-244 (2001) - [j26]Ron Sun:
Computation, reduction, and teleology of consciousness. Cogn. Syst. Res. 1(4): 241-249 (2001) - [j25]Ron Sun:
Individual action and collective function: From sociology to multi-agent learning. Cogn. Syst. Res. 2(1): 1-3 (2001) - [j24]Ron Sun, C. Lee Giles:
Sequence Learning: From Recognition and Prediction to Sequential Decision Making. IEEE Intell. Syst. 16(4): 67-70 (2001) - [j23]Antony Browne, Ron Sun:
Connectionist inference models. Neural Networks 14(10): 1331-1355 (2001) - [c18]Ron Sun:
Introduction to Sequence Learning. Sequence Learning 2001: 1-10 - [c17]Ron Sun, Chad Sessions:
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning. Sequence Learning 2001: 241-263 - [c16]Ron Sun, Todd Peterson, Chad Sessions:
Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks. WIRN 2001: 288-300 - [e2]Ron Sun, C. Lee Giles:
Sequence Learning - Paradigms, Algorithms, and Applications. Lecture Notes in Computer Science 1828, Springer 2001, ISBN 3-540-41597-1 [contents] - 2000
- [j22]Ron Sun, Chad Sessions:
Learning Plans without a priori Knowledge. Adapt. Behav. 8(3-4): 225-253 (2000) - [j21]Ron Sun, Chad Sessions:
Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors. IEEE Trans. Syst. Man Cybern. Part B 30(3): 403-418 (2000) - [c15]Ron Sun:
Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences. ICMAS 2000: 445-446 - [c14]Ron Sun:
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. IJCNN (2) 2000: 105-112 - [c13]Ron Sun, Dehu Qi:
Rationality Assumptions and Optimality of Co-learning. PRIMA 2000: 61-75 - [e1]Stefan Wermter, Ron Sun:
Hybrid Neural Systems, revised papers from a workshop held at NIPS'08, Denver, CO, USA, December 4-5, 1998. Lecture Notes in Computer Science 1778, Springer 2000, ISBN 3-540-67305-9 [contents]
1990 – 1999
- 1999
- [j20]Ron Sun, Todd Peterson, Edward Merrill:
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making. Appl. Intell. 11(1): 109-127 (1999) - [j19]Ron Sun, Vasant G. Honavar, Gregg C. Oden:
Integration of cognitive systems across disciplinary boundaries. Cogn. Syst. Res. 1(1): 1-3 (1999) - [j18]Antony Browne, Ron Sun:
Connectionist variable binding. Expert Syst. J. Knowl. Eng. 16(3): 189-207 (1999) - [j17]Ron Sun, Todd Peterson:
Multi-agent reinforcement learning: weighting and partitioning. Neural Networks 12(4-5): 727-753 (1999) - [c12]Ron Sun, Chad Sessions:
Bidding in Reinforcement Learning: A Paradigm for Multi-Agent Systems. Agents 1999: 344-345 - [c11]Ron Sun, Chad Sessions:
Self-segmentation of sequences. IJCNN 1999: 2253-2258 - [c10]Ron Sun, Todd Peterson:
Partitioning in reinforcement learning. IJCNN 1999: 2259-2264 - [c9]Ron Sun:
Knowledge extraction from reinforcement learning. IJCNN 1999: 2554-2559 - 1998
- [j16]Ron Sun, Charles X. Ling:
Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Mag. 19(2): 113-120 (1998) - [j15]Ron Sun, Todd Peterson:
Some Experiments with a Hybrid Model for Learning Sequential Decision Making. Inf. Sci. 111(1-4): 83-107 (1998) - [j14]Ron Sun, Todd Peterson:
Autonomous learning of sequential tasks: experiments and analyses. IEEE Trans. Neural Networks 9(6): 1217-1234 (1998) - [c8]Stefan Wermter, Ron Sun:
An Overview of Hybrid Neural Systems. Hybrid Neural Systems 1998: 1-13 - [c7]Ron Sun:
Supplementing Neural Reinforcement Learning with Symbolic Methods. Hybrid Neural Systems 1998: 333-347 - [c6]Ron Sun, Todd Peterson:
Automatic Partitioning for Multi-Agent Reinforcement Learning. ICONIP 1998: 268-271 - 1997
- [j13]Ron Sun:
Learning, action and consciousness: a hybrid approach toward modelling consciousness. Neural Networks 10(7): 1317-1331 (1997) - [c5]Ron Sun, Todd Peterson:
A hybrid model for learning sequential navigation. CIRA 1997: 234-239 - 1996
- [j12]Ron Sun:
Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration. AI Mag. 17(2): 99-103 (1996) - [j11]Ron Sun:
Commonsense reasoning with rules, cases, and connectionist models: A paradigmatic comparison. Fuzzy Sets Syst. 82(2): 187-200 (1996) - [c4]Ron Sun, Todd Peterson:
Learning in reactive sequential decision tasks: the CLARION model. ICNN 1996: 1073-1078 - 1995
- [j10]Ron Sun:
Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning. Artif. Intell. 75(2): 241-295 (1995) - [j9]Ron Sun:
Schemas, Logics, and Neural Assemblies. Appl. Intell. 5(2): 83-102 (1995) - [j8]Ron Sun:
A new approach toward modeling causality in commonsense reasoning. Int. J. Intell. Syst. 10(6): 581-616 (1995) - [j7]Ron Sun:
Structuring Knowledge In Vague Domains. IEEE Trans. Knowl. Data Eng. 7(1): 120-136 (1995) - [c3]Ron Sun:
A Microfeature Based Approach Towards Metaphor Interpretation. IJCAI 1995: 424-431 - 1994
- [b1]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 - [j6]Ron Sun:
A neural network model of causality. IEEE Trans. Neural Networks 5(4): 604-611 (1994) - 1993
- [j5]Ron Sun, Lawrence A. Bookman:
How Do Symbols and Networks Fit Together - A Report from the Workshop on Integrating Neural and Symbolic Processes. AI Mag. 14(2): 20-23 (1993) - [j4]Ron Sun:
Similarity in Cognition: A Review of Similarity and Analogical Reasoning. AI Mag. 14(4): 81-84 (1993) - [j3]Ron Sun:
Beyond associative memories: Logics and variables in connectionist models. Inf. Sci. 70(1-2): 49-73 (1993) - [j2]Ron Sun:
An efficient feature-based connectionist inheritance scheme. IEEE Trans. Syst. Man Cybern. 23(2): 512-522 (1993) - [c2]Ron Sun:
On neural networks for symbolic processing. ANNES 1993: 5-6 - 1992
- [j1]Ron Sun:
A connectionist model for commonsense reasoning incorporating rules and similarities. Knowl. Acquis. 4(3): 293-321 (1992) - 1990
- [c1]Ron Sun:
Integrating Rules and Connectionism for Robust Reasoning. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 372
Coauthor Index
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