Ron Sun

According to our database1, Ron Sun authored at least 97 papers between 1990 and 2018.

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Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to cognitive architectures and computations".

Timeline

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Bibliography

2018
Introduction to the special issue on deep reinforcement learning: An editorial.
Neural Networks, 2018

Why is a computational framework for motivational and metacognitive control needed?
J. Exp. Theor. Artif. Intell., 2018

Similarity-Based Reasoning, Raven's Matrices, and General Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Anatomy of the Mind: a Quick Overview.
Cognitive Computation, 2017

2016
Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture.
Cognitive Computation, 2016

Emotion contagion in a cognitive architecture.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Cognitive Architectures and Agents.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Modeling the Creation and Development of Cause-Effect Pairs for Explanation Generation in a Cognitive Architecture.
Proceedings of the 3rd International Workshop on Artificial Intelligence and Cognition, 2015

2014
A model of personality should be a cognitive architecture itself.
Cognitive Systems Research, 2014

Structural representation and reasoning in a hybrid cognitive architecture.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Coping with Bullying: A Computational Emotion-Theoretic Account.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Using a Hybrid Cognitive Architecture to Model Children's Errors in an Analogy Task.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Using Meta-Cognition for Regulating Explanatory Quality Through a Cognitive Architecture.
Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014

2013
Psychologically realistic cognitive agents: taking human cognition seriously.
J. Exp. Theor. Artif. Intell., 2013

Moral Judgment, Human Motivation, and Neural Networks.
Cognitive Computation, 2013

2012
David L Waltz, in Memoriam.
AI Magazine, 2012

Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Accounting for Certain Mental Disorders Within a Comprehensive Cognitive Architecture.
Cognitive Computation, 2011

CLARION as a Cognitive Framework for Intelligent Virtual Agents.
Proceedings of the Intelligent Virtual Agents - 11th International Conference, 2011

Mental disorders within a cognitive architecture.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

How the core theory of CLARION captures human decision-making.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Creative problem solving: A CLARION theory.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A motivationally-based simulation of performance degradation under pressure.
Neural Networks, 2009

Capturing human data in a letter counting task: Accessibility and action-centeredness in representing cognitive skills.
Neural Networks, 2009

Theoretical status of computational cognitive modeling.
Cognitive Systems Research, 2009

Motivational Representations within a Computational Cognitive Architecture.
Cognitive Computation, 2009

Cognitive simulation of academic science.
Proceedings of the International Joint Conference on Neural Networks, 2009

Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Cognitive Systems and Cognitive Architectures.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Special Issue on Advances in Neural Networks Research: IJCNN'07.
Neural Networks, 2008

2007
The Challenges of Building Computational Cognitive Architectures.
Proceedings of the Challenges for Computational Intelligence, 2007

The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction.
Neural Networks, 2007

Hierarchical approaches to understanding consciousness.
Neural Networks, 2007

The importance of cognitive architectures: an analysis based on CLARION.
J. Exp. Theor. Artif. Intell., 2007

Cognitive Social Simulation Incorporating Cognitive Architectures.
IEEE Intelligent Systems, 2007

2006
Accounting for a variety of reasoning data within a cognitive architecture.
J. Exp. Theor. Artif. Intell., 2006

Modeling meta-cognition in a cognitive architecture.
Cognitive Systems Research, 2006

A cognitively based simulation of academic science.
Computational & Mathematical Organization Theory, 2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
AI Magazine, 2006

Cognitive Architectures and the Challenge of Cognitive Social Simulation.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

2005
Learning to cooperate in solving the traveling salesman problem.
Int. J. Neural Syst., 2005

Cognitive Architectures and Multi-agent Social Simulation.
Proceedings of the Multi-Agent Systems for Society, 2005

2004
Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model.
J. Artificial Societies and Social Simulation, 2004

Intelligent agents and data mining for cognitive systems.
Cognitive Systems Research, 2004

Top-down versus bottom-up learning in cognitive skill acquisition.
Cognitive Systems Research, 2004

Cooperative Agents Through Bidding.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Learning Team Cooperation.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Comparison of Team Evolution Operators.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Learning Cooperation through Bidding.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

2003
A multi-agent system integrating reinforcement learning, bidding and genetic algorithms.
Web Intelligence and Agent Systems, 2003

Integrating Reinforcement Learning, Bidding and Genetic Algorithms.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

2001
Connectionist inference models.
Neural Networks, 2001

Sequence Learning: From Recognition and Prediction to Sequential Decision Making.
IEEE Intelligent Systems, 2001

Computation, reduction, and teleology of consciousness.
Cognitive Systems Research, 2001

Individual action and collective function: From sociology to multi-agent learning.
Cognitive Systems Research, 2001

From implicit skills to explicit knowledge: a bottom-up model of skill learning.
Cognitive Science, 2001

The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop.
AI Magazine, 2001

Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Introduction to Sequence Learning.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Duality of the mind - a bottom-up approach toward cognition.
Lawrence Erlbaum, ISBN: 978-0-8058-3880-0, 2001

2000
Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2000

Learning Plans without a priori Knowledge.
Adaptive Behaviour, 2000

Rationality Assumptions and Optimality of Co-learning.
Proceedings of the Design and Applications of Intelligent Agents, 2000

Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

1999
Multi-agent reinforcement learning: weighting and partitioning.
Neural Networks, 1999

Connectionist variable binding.
Expert Systems, 1999

Integration of cognitive systems across disciplinary boundaries.
Cognitive Systems Research, 1999

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making.
Appl. Intell., 1999

Self-segmentation of sequences.
Proceedings of the International Joint Conference Neural Networks, 1999

Partitioning in reinforcement learning.
Proceedings of the International Joint Conference Neural Networks, 1999

Knowledge extraction from reinforcement learning.
Proceedings of the International Joint Conference Neural Networks, 1999

Bidding in Reinforcement Learning: A Paradigm for Multi-Agent Systems.
Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998
Autonomous learning of sequential tasks: experiments and analyses.
IEEE Trans. Neural Networks, 1998

Some Experiments with a Hybrid Model for Learning Sequential Decision Making.
Inf. Sci., 1998

Computational Cognitive Modeling, the Source of Power, and Other Related Issues.
AI Magazine, 1998

Automatic Partitioning for Multi-Agent Reinforcement Learning.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

An Overview of Hybrid Neural Systems.
Proceedings of the Hybrid Neural Systems, 1998

Supplementing Neural Reinforcement Learning with Symbolic Methods.
Proceedings of the Hybrid Neural Systems, 1998

1997
Learning, action and consciousness: a hybrid approach toward modelling consciousness.
Neural Networks, 1997

A hybrid model for learning sequential navigation.
Proceedings of the Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97, 1997

1996
Commonsense reasoning with rules, cases, and connectionist models: A paradigmatic comparison.
Fuzzy Sets and Systems, 1996

Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration.
AI Magazine, 1996

Learning in reactive sequential decision tasks: the CLARION model.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Structuring Knowledge In Vague Domains.
IEEE Trans. Knowl. Data Eng., 1995

A new approach toward modeling causality in commonsense reasoning.
Int. J. Intell. Syst., 1995

Schemas, Logics, and Neural Assemblies.
Appl. Intell., 1995

Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning.
Artif. Intell., 1995

A Microfeature Based Approach Towards Metaphor Interpretation.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
A neural network model of causality.
IEEE Trans. Neural Networks, 1994

Integrating rules and connectionism for robust commonsense reasoning.
Sixth-generation computer technology series, Wiley, ISBN: 978-0-471-59324-9, 1994

1993
An efficient feature-based connectionist inheritance scheme.
IEEE Trans. Systems, Man, and Cybernetics, 1993

Beyond associative memories: Logics and variables in connectionist models.
Inf. Sci., 1993

How Do Symbols and Networks Fit Together - A Report from the Workshop on Integrating Neural and Symbolic Processes.
AI Magazine, 1993

Similarity in Cognition: A Review of Similarity and Analogical Reasoning.
AI Magazine, 1993

On neural networks for symbolic processing.
Proceedings of the First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 1993

1990
Integrating Rules and Connectionism for Robust Reasoning.
Proceedings of the Parallelization in Inference Systems, 1990


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