Ron Sun Integrating Rules and Connectionism for Robust Reasoning. [Citation Graph (0, 0)][DBLP] Dagstuhl Seminar on Parallelization in Inference Systems, 1990, pp:372- [Conf]
Ron Sun Supplementing Neural Reinforcement Learning with Symbolic Methods. [Citation Graph (0, 0)][DBLP] Hybrid Neural Systems, 1998, pp:333-347 [Conf]
Ron Sun Multi-Agent Reinforcement Learning with Bidding for Automatic Segmentation of Action Sequences. [Citation Graph (0, 0)][DBLP] ICMAS, 2000, pp:445-446 [Conf]
Ron Sun A Microfeature Based Approach Towards Metaphor Interpretation. [Citation Graph (0, 0)][DBLP] IJCAI, 1995, pp:424-431 [Conf]
Ron Sun Beyond Simple Rule Extraction: The Extraction of Planning Knowledge from Reinforcement Learners. [Citation Graph (0, 0)][DBLP] IJCNN (2), 2000, pp:105-112 [Conf]
Ron Sun, Chad Sessions Automatic Segmentation of Sequences through Hierarchical Reinforcement Learning. [Citation Graph (0, 0)][DBLP] Sequence Learning, 2001, pp:241-263 [Conf]
Ron Sun Robust Reasoning: Integrating Rule-Based and Similarity-Based Reasoning. [Citation Graph (0, 0)][DBLP] Artif. Intell., 1995, v:75, n:2, pp:241-295 [Journal]
Ron Sun Similarity in Cognition: A Review of Similarity and Analogical Reasoning. [Citation Graph (0, 0)][DBLP] AI Magazine, 1993, v:14, n:4, pp:81-84 [Journal]
Ron Sun Hybrid Connectionist-Symbolic Modules A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration. [Citation Graph (0, 0)][DBLP] AI Magazine, 1996, v:17, n:2, pp:99-103 [Journal]
Ron Sun, Lawrence A. Bookman How Do Symbols and Networks Fit Together - A Report from the Workshop on Integrating Neural and Symbolic Processes. [Citation Graph (0, 0)][DBLP] AI Magazine, 1993, v:14, n:2, pp:20-23 [Journal]
Stefan Wermter, Ron Sun The Present and the Future of Hybrid Neural Symbolic Systems: Some Reflections from the NIPS Workshop. [Citation Graph (0, 0)][DBLP] AI Magazine, 2001, v:22, n:1, pp:123-126 [Journal]
Ron Sun Schemas, Logics, and Neural Assemblies. [Citation Graph (0, 0)][DBLP] Appl. Intell., 1995, v:5, n:2, pp:83-102 [Journal]
Ron Sun, C. Lee Giles Sequence Learning: From Recognition and Prediction to Sequential Decision Making. [Citation Graph (0, 0)][DBLP] IEEE Intelligent Systems, 2001, v:16, n:4, pp:67-70 [Journal]
Dehu Qi, Ron Sun Learning to cooperate in solving the traveling salesman problem. [Citation Graph (0, 0)][DBLP] Int. J. Neural Syst., 2005, v:15, n:1-2, pp:151-162 [Journal]
Ron Sun Beyond associative memories: Logics and variables in connectionist models. [Citation Graph (0, 0)][DBLP] Inf. Sci., 1993, v:70, n:1-2, pp:49-73 [Journal]
Ron Sun, Todd Peterson Some Experiments with a Hybrid Model for Learning Sequential Decision Making. [Citation Graph (0, 0)][DBLP] Inf. Sci., 1998, v:111, n:1-4, pp:83-107 [Journal]
Ron Sun, Isaac Naveh Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model. [Citation Graph (0, 0)][DBLP] J. Artificial Societies and Social Simulation, 2004, v:7, n:3, pp:- [Journal]
Ron Sun, Xi Zhang Accounting for a variety of reasoning data within a cognitive architecture. [Citation Graph (0, 0)][DBLP] J. Exp. Theor. Artif. Intell., 2006, v:18, n:2, pp:169-191 [Journal]
Ron Sun Structuring Knowledge In Vague Domains. [Citation Graph (0, 10)][DBLP] IEEE Trans. Knowl. Data Eng., 1995, v:7, n:1, pp:120-136 [Journal]
Ron Sun, Chad Sessions Self-segmentation of sequences: automatic formation of hierarchies of sequential behaviors. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2000, v:30, n:3, pp:403-418 [Journal]
Dehu Qi, Ron Sun A multi-agent system integrating reinforcement learning, bidding and genetic algorithms. [Citation Graph (0, 0)][DBLP] Web Intelligence and Agent Systems, 2003, v:1, n:3-4, pp:187-202 [Journal]
Cognitive Architectures and the Challenge of Cognitive Social Simulation. [Citation Graph (, )][DBLP]
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