Principles of Multi-Agent Systems

A Special Issue of Artificial Intelligence

Call for Papers

While multi-agent systems have always been the central focus of research in the Distributed AI community, increasingly researchers in knowledge representation, planning, and learning are addressing issues that arise in settings with multiple agents. To this end, many of the principles developed in these communities for the design, control and analysis of individual agents have begun to be extended to deal with multiple agents. This special issue of Artificial Intelligence will bring together much of this research within AI and other disciplines.

Topics of interest include, but are not limited to, the following:

• representing and reasoning about agents' mental state, including beliefs, preferences, and obligations;
• representing and reasoning about foundations of agency, including ability and `bringing about';
• applications of game theory and microeconomics to multi-agent systems;
• analysis of the dynamics of multi-agent interactions;
• criteria for ascribing beliefs and preferences to other agents;
• design and analysis of novel coordination and negotiation mechanisms;
• frameworks and mechanisms for collaboration among human and computational agents
• mechanisms for team formation and agent organization;
• design and evolution of social laws and conventions

Submission

Please send four copies (or one electronic copy in postscript format) of the complete manuscript to one of the guest editors. Manuscripts must be received by May 31, 1995.

Coordinating Editor

Guest Editors