Sun, Ron


David L Waltz, in Memoriam

AI Magazine

Dave Waltz began his career of creativity and collaboration after completing his dissertation in 1972 at the MIT AI Lab. That dissertation created the field of constraint propagation by showing that constraints and a rich but simple descriptive system were sufficient to recover 3-dimensional information from a 2-dimensional projection. Besides an education, Dave picked up a passion for the high-energy atmosphere that propelled the MIT AI Lab to prominence—an atmosphere that he spent the rest of his life recreating


Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program

AI Magazine

The Workshop program of the Twenty-First Conference on Artificial Intelligence was held July 16-17, 2006 in Boston, Massachusetts. The program was chaired by Joyce Chai and Keith Decker. The titles of the 17 workshops were AIDriven Technologies for Service-Oriented Computing; Auction Mechanisms for Robot Coordination; Cognitive Modeling and Agent-Based Social Simulations, Cognitive Robotics; Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness; Educational Data Mining; Evaluation Methods for Machine Learning; Event Extraction and Synthesis; Heuristic Search, Memory- Based Heuristics, and Their Applications; Human Implications of Human-Robot Interaction; Intelligent Techniques in Web Personalization; Learning for Search; Modeling and Retrieval of Context; Modeling Others from Observations; and Statistical and Empirical Approaches for Spoken Dialogue Systems.


Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program

AI Magazine

The Workshop program of the Twenty-First Conference on Artificial Intelligence was held July 16-17, 2006 in Boston, Massachusetts. The program was chaired by Joyce Chai and Keith Decker. The titles of the 17 workshops were AIDriven Technologies for Service-Oriented Computing; Auction Mechanisms for Robot Coordination; Cognitive Modeling and Agent-Based Social Simulations, Cognitive Robotics; Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness; Educational Data Mining; Evaluation Methods for Machine Learning; Event Extraction and Synthesis; Heuristic Search, Memory- Based Heuristics, and Their Applications; Human Implications of Human-Robot Interaction; Intelligent Techniques in Web Personalization; Learning for Search; Modeling and Retrieval of Context; Modeling Others from Observations; and Statistical and Empirical Approaches for Spoken Dialogue Systems.


The Present and the Future of Hybrid Neural Symbolic Systems Some Reflections from the NIPS Workshop

AI Magazine

In this article, we describe some recent results and trends concerning hybrid neural symbolic systems based on a recent workshop on hybrid neural symbolic integration. The Neural Information Processing Systems (NIPS) workshop on hybrid neural symbolic integration, organized by Stefan Wermter and Ron Sun, was held on 4 to 5 December 1998 in Breckenridge, Colorado.


Computational Cognitive Modeling, the Source of Power, and Other Related Issues

AI Magazine

In computational cognitive modeling, we hypothesize internal mental processes of human cognitive activities and express such activities by computer programs. Such computational models often consist of many components and aspects. Claims are often made that certain aspects play a key role in modeling, but such claims are sometimes not well justified or explored. We then discuss, in principle, systematic ways of identifying the source of power in models.


Computational Cognitive Modeling, the Source of Power, and Other Related Issues

AI Magazine

In computational cognitive modeling, we hypothesize internal mental processes of human cognitive activities and express such activities by computer programs. Such computational models often consist of many components and aspects. Claims are often made that certain aspects play a key role in modeling, but such claims are sometimes not well justified or explored. In this article, we first review some fundamental distinctions and issues in computational modeling. We then discuss, in principle, systematic ways of identifying the source of power in models.


Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration

AI Magazine

The Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches was held on 19 to 20 August 1995 in Montreal, Canada, in conjunction with the Fourteenth International Joint Conference on Artificial Intelligence. The focus of the workshop was on learning and architectures that feature hybrid representations and support hybrid learning. The general consensus was that hybrid connectionist-symbolic models constitute a promising avenue to the development of more robust, more powerful, and more versatile architectures for both cognitive modeling and intelligent systems.


Hybrid Connectionist-Symbolic Modules: A Report from the IJCAI-95 Workshop on Connectionist-Symbolic Integration

AI Magazine

The Workshop on Connectionist-Symbolic Integration: From Unified to Hybrid Approaches was held on 19 to 20 August 1995 in Montreal, Canada, in conjunction with the Fourteenth International Joint Conference on Artificial Intelligence. The focus of the workshop was on learning and architectures that feature hybrid representations and support hybrid learning. The general consensus was that hybrid connectionist-symbolic models constitute a promising avenue to the development of more robust, more powerful, and more versatile architectures for both cognitive modeling and intelligent systems.



Similarity in Cognition: A Review of Similarity and Analogical Reasoning

AI Magazine

Review of "Similarity and Analogical Reasoning, by Stella Vosniadou and Andrew Ortony, eds., Cambridge University Press, New York, New York, 1989, 592 pp., ISBN 0-521-38935-6.