Representation and Adaptation of Organization Coordination Knowledge for Autonomous Agent Systems

We present a framework that represents and adapts the organization coordination knowledge of autonomous agent systems. Organization coordination knowledge represents long-term knowledge about problem solving relationships between agents. As problem solving conditions change, organization coordination knowledge must be adapted to maintain system performance. Our framework includes: (1) an organization model that represents organization coordination knowledge; (2) a model that represents adaptation knowledge; and (3) an adaptation mechanism that uses AI techniques to nd an organization model whose predicted performance satis es a performance goal.