Pragmatic Multi-Agent Learning

Abstract

f there was a consensus upon the best course of action to follow (perhaps legislated by a supervising agent or agreed to during community-wide communication) because of the community 's initial lack of knowledge about their uncertain domain. Through the use of collective memory, however, agents behave more efficiently over the course of solving a problem sequence for two reasons. First, individual agents develop a point of view based upon shared experiences; second, they learn procedures that capture regularities both in the task environment and in the patterns of cooperation for solving problems in task domain. That is, an agent remembers successful cooperative behavior in which she was involved, and uses it as a basis for future interactions. Copyright c fl1998, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. In addition to a case-base of cooperative procedures, collective memory currently contains a set of tree str