Towards A Self-Organizational Approach for a Parallel Computation in a Distributed Production Rule Based System

Adaptation, Coevolution, and Learning in Multiagent Systems

Volume

Papers from the 1996 AAAI Spring Symposium

Contents

Much work has been done todate to improve the response delay of rule based systems, specially through the parallelization of the inference mechanism. In this paper, we present a novel approach founded on an evolutionnary computing in a rule based system (RBS). Our aim is to deal with the problem of parallel computation of a RBS in a distributed evolving environment, tightly coupled with the problem of dynamic load balancing by the mean of a self organizationnal approach.