IJCAI-95 WORKSHOP ON ADAPTATION AND LEARNING IN MULTIAGENT SYSTEMS

The goal of the Workshop on Adaptation and Learning in Multiagent Syst ems was to focus on research that addresses unique requirements for ag ents learning and adapting to work in the presence of other agents. Re cognizing the applicability and limitations df current machine-learnin g research as applied to multiagent problems and developing new learni ng and adaptation mechanisms particularly targeted to this class of pr oblems were the primary research issues that we wanted the authors to address. This article outlines the presentations that were made at the workshop and the success of the workshop in meeting the established g oals. Issues that need to be better understood are also presented.