Workshop on Cognitive Modeling of Agents and Multi-Agent Interactions During IJCAI'2003 August 9, 2003. Acapulco, Mexico Computational models of cognitive agents that incorporate a wide range of cognitive functionalities (such as a variety of memory/representation, various types of learning, and sensory motor capabilities) have been developed in both AI and cognitive science. In AI, they appear under the rubric of intelligent agents and multi-agent systems. In cognitive science, they are often known as cognitive architectures. These strands of research provide useful paradigms for addressing some fundamental questions in AI and Cognitive Science. Artificial intelligence started out with the goal of designing functioning intelligent agents. However, faced with the enormous difficulty of the task, the focus has largely been on modeling specific aspects of intelligence, often in highly restricted domains. Nevertheless, some researchers have focused on putting the pieces together with the goal of designing autonomous agents. More important, there is a growing interest in multi-agent interactions that addresses issues of coordination and cooperation among cognitive agents. On the other side, traditionally, the main focus of research in cognitive science has been on specific components of cognition (e.g., perception, memory, learning, language). Recent developments in computational modeling of cognitive architectures provide new avenues for precisely specifying complex cognitive processes in tangible ways, thereby addressing foundational questions in cognitive science. Such developments need to be extended to multi-agent interactions and there are promising developments in this regard (see e.g. recent papers in this area in the journal Cognitive Systems Research). Against this background, this workshop seeks to bring together cognitive scientists and AI researchers, with a wide range of background and expertise, to discuss research problems in understanding cognition at the individual level as well as at the collective level. The workshop is open to all members of the AI and CogSci research communities. We invite submissions on all aspects of cognitive modeling of agents and multi-agent interactions, including, but not limited to: * Cognitive architectures of individual cognitive agents. * Cognitive models of multi-agent interactions (e.g., communication, cooperation, and negotiation, in relation to cognition). * Cognitive models of multi-agent organizations (e.g., organizational structure, economies, culture, and other coordination structures and mechanisms, in relation to cognition). * Cognitive models of co-learning of multiple cognitive agents. * Computational models of evolution of cognition and behavior. * Computational abstractions, languages, and tools for cognitive modeling of agents and multi-agent interactions. The discussions at the workshop will focus on the following issues, among many others: * What are the characteristics of the successful cognitive architectures for modeling individual cognitive agents? * What are the suitable characteristics of cognitive architectures for modeling both individual cognitive agents and multi-agent interactions? * What are the fundamental ways of understanding and modeling multi-agent interactions? Can they be reduced to individual cognition? * How can we best characterize and model social structures and organizations in relation to cognition? * How important is evolution in shaping individual cognition and collective behavior? How can we model that aspect? SUBMISSION If you are interested in giving a presentation at the workshop, please submit a full paper, 6-10 pages, in the IJCAI paper format. If you are only interested in attending, submit a brief abstract (one page or less) describing your interest. Use the IJCAI paper format (and templates) for your papers. See the IJCAI Web site: http://www.ijcai-03.org for details. Electronic submission is required. Only the Postscript or PDF format is accepted. Send your paper (in PS or PDF) as an email attachment. In the body of your email, include (in plain ASCII): names of all authors, their affiliations, their physical addresses, and their email addresses. In addition, the same information should also be included in your paper itself. All submissions should be sent to: rsun(a)cecs.missouri.edu Each paper will be reviewed for technical soundness, relevance, significance, and clarity. An edited book volume, as well as a special issue of the journal Cognitive System Research, is planned for a selected subset of the papers of the workshop. IMPORTANT DATES AND DEADLINES * Deadline for the submission of full papers (6 to 10 pages) or abstracts (1 page): March 1, 2003. * Notification of acceptance/rejection: March 30, 2003. * Deadline for the receipt of camera-ready papers: May 1, 2003 ORGANIZING COMMITTEE Prof. Ron Sun (Chair) CECS Department, 201 EBW University of Missouri-Columbia Columbia, MO 65211-2060 rsun(a)cecs.missouri.edu http://www.cecs.missouri.edu/~rsun Prof. Cristiano Castelfranchi Department of Communication Sciences University of Siena Siena, Italy castel(a)ip.rm.cnr.it Prof. Jan Treur Department of Artificial Intelligence Faculty of Sciences Vrije Universiteit Amsterdam 1081 HV Amsterdam, Netherlands treur(a)cs.vu.nl Dr. Robert L. West Department of Psychology and Department of Cognitive Science Carleton University 1125 Colonel By Drive Ottawa, Ontario K1S 5B6 robert_west(a)carleton.ca Dr. Christian Lebiere Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 cl(a)andrew.cmu.edu ------------------------------------------------------------ See the workshop Web page at: http://www.cecs.missouri.edu/~rsun/wsp03.html =================================================================== Professor Ron Sun, Ph.D James C. Dowell Professor CECS Department, 201 EBW phone: (573) 884-7662 University of Missouri-Columbia fax: (573) 882-8318 Columbia, MO 65211-2060 email: rsun(a)cecs.missouri.edu http://www.cecs.missouri.edu/~rsun ===================================================================