Ron Sun

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 12

Top Topics

Information Foraging

Cognitive Architecture

Symbolic Knowledge

General Intelligence

Top Venues

Cogn. Syst. Res.

Publications

Ron Sun
Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa? CoRR (2024)
Ron Sun, Sergei Bugrov, David Yun Dai
A unified framework for interpreting a range of motivation-performance phenomena. Cogn. Syst. Res. 71 (2022)
Nicholas R. Wilson, Ron Sun
A Mechanistic Account of Stress-Induced Performance Degradation. Cogn. Comput. 13 (1) (2021)
Ron Sun
Potential of full human-machine symbiosis through truly intelligent cognitive systems. AI Soc. 35 (1) (2020)
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) (2019)
Can Serif Mekik, Ron Sun, David Yun Dai
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence. IJCAI (2018)
Ron Sun
Why is a computational framework for motivational and metacognitive control needed? J. Exp. Theor. Artif. Intell. 30 (1) (2018)
Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang
Introduction to the special issue on deep reinforcement learning: An editorial. Neural Networks 107 (2018)
Ron Sun
Anatomy of the Mind: a Quick Overview. Cogn. Comput. 9 (1) (2017)
Ron Sun, Nick Wilson, Michael F. Lynch
Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture. Cogn. Comput. 8 (1) (2016)
Joseph Allen, Ron Sun
Emotion contagion in a cognitive architecture. SSCI (2016)
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)
John Licato, Ron Sun, Selmer Bringsjord
Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture. AIC (2014)
Ron Sun, Nicholas R. Wilson
A model of personality should be a cognitive architecture itself. Cogn. Syst. Res. (2014)
Nicholas R. Wilson, Ron Sun
Coping with Bullying: A Computational Emotion-Theoretic Account. CogSci (2014)
John Licato, Ron Sun, Selmer Bringsjord
Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task. CogSci (2014)
John Licato, Ron Sun, Selmer Bringsjord
Structural representation and reasoning in a hybrid cognitive architecture. IJCNN (2014)
Ron Sun, Sébastien Hélie
Psychologically realistic cognitive agents: taking human cognition seriously. J. Exp. Theor. Artif. Intell. 25 (1) (2013)
Ron Sun
Moral Judgment, Human Motivation, and Neural Networks. Cogn. Comput. 5 (4) (2013)
Ron Sun, Sébastien Hélie
Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture. IJCNN (2012)
Richard P. Gabriel, Tim Finin, Ron Sun
David L Waltz, in Memoriam. AI Mag. 33 (4) (2012)
Ron Sun, Nick Wilson, Robert C. Mathews
Mental disorders within a cognitive architecture. IJCNN (2011)
Michael F. Lynch, Ron Sun, Nicholas R. Wilson
CLARION as a Cognitive Framework for Intelligent Virtual Agents. IVA (2011)
Ron Sun, Nick Wilson, Robert C. Mathews
Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture. Cogn. Comput. 3 (2) (2011)
Sébastien Hélie, Ron Sun
How the core theory of CLARION captures human decision-making. IJCNN (2011)
Sébastien Hélie, Ron Sun
Creative problem solving: A CLARION theory. IJCNN (2010)
Nicholas R. Wilson, Ron Sun, Robert C. Mathews
A motivationally-based simulation of performance degradation under pressure. Neural Networks 22 (5-6) (2009)
Ron Sun
Motivational Representations within a Computational Cognitive Architecture. Cogn. Comput. 1 (1) (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) (2009)
Ron Sun
Theoretical status of computational cognitive modeling. Cogn. Syst. Res. 10 (2) (2009)
Ron Sun, Isaac Naveh
Cognitive simulation of academic science. IJCNN (2009)
Sébastien Hélie, Ron Sun
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model. IJCNN (2009)
David G. Brown, Jennie Si, Ron Sun
Special Issue on Advances in Neural Networks Research: IJCNN'07. Neural Networks 21 (2-3) (2008)
L. Andrew Coward, Ron Sun
Hierarchical approaches to understanding consciousness. Neural Networks 20 (9) (2007)
Ron Sun
The importance of cognitive architectures: an analysis based on CLARION. J. Exp. Theor. Artif. Intell. 19 (2) (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) (2007)
Ron Sun
Cognitive Social Simulation Incorporating Cognitive Architectures. IEEE Intell. Syst. 22 (5) (2007)
Ron Sun, Xi Zhang
Accounting for a variety of reasoning data within a cognitive architecture. J. Exp. Theor. Artif. Intell. 18 (2) (2006)
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 J. Young, Dmitry Zelenko
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. 27 (4) (2006)
Isaac Naveh, Ron Sun
A cognitively based simulation of academic science. Comput. Math. Organ. Theory 12 (4) (2006)
Ron Sun
Cognitive Architectures and the Challenge of Cognitive Social Simulation. WImBI (2006)
Ron Sun, Xi Zhang, Robert C. Mathews
Modeling meta-cognition in a cognitive architecture. Cogn. Syst. Res. 7 (4) (2006)
Ron Sun
Cognitive Architectures and Multi-agent Social Simulation. PRIMA (2005)
Dehu Qi, Ron Sun
Learning to cooperate in solving the traveling salesman problem. Int. J. Neural Syst. 15 (1-2) (2005)
Ron Sun, Xi Zhang
Top-down versus bottom-up learning in cognitive skill acquisition. Cogn. Syst. Res. 5 (1) (2004)
Ning Zhong, Jiming Liu, Ron Sun
Intelligent agents and data mining for cognitive systems. Cogn. Syst. Res. 5 (3) (2004)
Ron Sun, Dehu Qi
Learning Team Cooperation. ICONIP (2004)
Ron Sun, Dehu Qi
Learning Cooperation through Bidding. AAMAS (2004)
Dehu Qi, Ron Sun
A Comparison of Team Evolution Operators. IAT (2004)
Dehu Qi, Ron Sun
Cooperative Agents Through Bidding. IRI (2004)
Ron Sun, Isaac Naveh
Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model. J. Artif. Soc. Soc. Simul. 7 (3) (2004)
Dehu Qi, Ron Sun
A multi-agent system integrating reinforcement learning, bidding and genetic algorithms. Web Intell. Agent Syst. 1 (3-4) (2003)
Dehu Qi, Ron Sun
Integrating Reinforcement Learning, Bidding and Genetic Algorithms. IAT (2003)
Ron Sun
Computation, reduction, and teleology of consciousness. Cogn. Syst. Res. 1 (4) (2001)
Ron Sun, C. Lee Giles
Sequence Learning: From Recognition and Prediction to Sequential Decision Making. IEEE Intell. Syst. 16 (4) (2001)
Ron Sun, Todd Peterson, Chad Sessions
Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks. WIRN (2001)
Ron Sun
Individual action and collective function: From sociology to multi-agent learning. Cogn. Syst. Res. 2 (1) (2001)
Antony Browne, Ron Sun
Connectionist inference models. Neural Networks 14 (10) (2001)
Ron Sun, Chad Sessions
Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning. Sequence Learning (2001)
Ron Sun
Introduction to Sequence Learning. Sequence Learning (2001)
Ron Sun, Edward Merrill, Todd Peterson
From implicit skills to explicit knowledge: a bottom-up model of skill learning. Cogn. Sci. 25 (2) (2001)
Stefan Wermter, Ron Sun
The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. AI Mag. 22 (1) (2001)
Ron Sun, Chad Sessions
Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors. IEEE Trans. Syst. Man Cybern. Part B 30 (3) (2000)
Ron Sun
Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences. ICMAS (2000)
Ron Sun, Dehu Qi
Rationality Assumptions and Optimality of Co-learning. PRIMA (2000)
Ron Sun, Chad Sessions
Learning Plans without a priori Knowledge. Adapt. Behav. 8 (3-4) (2000)
Ron Sun
Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. IJCNN (2) (2000)
Ron Sun, Chad Sessions
Bidding in Reinforcement Learning: A Paradigm for Multi-Agent Systems. Agents (1999)
Ron Sun, Chad Sessions
Self-segmentation of sequences. IJCNN (1999)
Antony Browne, Ron Sun
Connectionist variable binding. Expert Syst. J. Knowl. Eng. 16 (3) (1999)
Ron Sun, Todd Peterson
Multi-agent reinforcement learning: weighting and partitioning. Neural Networks 12 (4-5) (1999)
Ron Sun, Todd Peterson
Partitioning in reinforcement learning. IJCNN (1999)
Ron Sun
Knowledge extraction from reinforcement learning. IJCNN (1999)
Ron Sun, Todd Peterson, Edward Merrill
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making. Appl. Intell. 11 (1) (1999)
Ron Sun, Vasant G. Honavar, Gregg C. Oden
Integration of cognitive systems across disciplinary boundaries. Cogn. Syst. Res. 1 (1) (1999)
Ron Sun, Todd Peterson
Automatic Partitioning for Multi-Agent Reinforcement Learning. ICONIP (1998)
Stefan Wermter, Ron Sun
An Overview of Hybrid Neural Systems. Hybrid Neural Systems (1998)
Ron Sun, Charles X. Ling
Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Mag. 19 (2) (1998)
Ron Sun, Todd Peterson
Autonomous learning of sequential tasks: experiments and analyses. IEEE Trans. Neural Networks 9 (6) (1998)
Ron Sun
Supplementing Neural Reinforcement Learning with Symbolic Methods. Hybrid Neural Systems (1998)
Ron Sun, Todd Peterson
Some Experiments with a Hybrid Model for Learning Sequential Decision Making. Inf. Sci. 111 (1-4) (1998)
Ron Sun
Learning, action and consciousness: a hybrid approach toward modelling consciousness. Neural Networks 10 (7) (1997)
Ron Sun, Todd Peterson
A hybrid model for learning sequential navigation. CIRA (1997)
Ron Sun
Commonsense reasoning with rules, cases, and connectionist models: A paradigmatic comparison. Fuzzy Sets Syst. 82 (2) (1996)
Ron Sun, Todd Peterson
Learning in reactive sequential decision tasks: the CLARION model. ICNN (1996)
Ron Sun
Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration. AI Mag. 17 (2) (1996)
Ron Sun
Schemas, Logics, and Neural Assemblies. Appl. Intell. 5 (2) (1995)
Ron Sun
A Microfeature Based Approach Towards Metaphor Interpretation. IJCAI (1995)
Ron Sun
Structuring Knowledge In Vague Domains. IEEE Trans. Knowl. Data Eng. 7 (1) (1995)
Ron Sun
Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning. Artif. Intell. 75 (2) (1995)
Ron Sun
A new approach toward modeling causality in commonsense reasoning. Int. J. Intell. Syst. 10 (6) (1995)
Ron Sun
A neural network model of causality. IEEE Trans. Neural Networks 5 (4) (1994)
Ron Sun
On neural networks for symbolic processing. ANNES (1993)
Ron Sun
Similarity in Cognition: A Review of Similarity and Analogical Reasoning. AI Mag. 14 (4) (1993)
Ron Sun
Beyond associative memories: Logics and variables in connectionist models. Inf. Sci. 70 (1-2) (1993)
Ron Sun
An efficient feature-based connectionist inheritance scheme. IEEE Trans. Syst. Man Cybern. 23 (2) (1993)
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) (1993)
Ron Sun
Integrating Rules and Connectionism for Robust Reasoning. Dagstuhl Seminar on Parallelization in Inference Systems (1990)