Parallel, Distributed and Multi-Agent Production Systems

Toru Ishida

Production systems have been widely used as expert system building tools and recognize-and-act models in cognitive science. This paper is intended to introduce parallel/distributed/multi-agent production systems, and to reveal their possibilities as research foundations for distributed artificial intelligence: a parallel production system as an agent reactive architecture, a distributed production system as an adaptive agent organization, and a multi-agent production system for organizational learning. Production systems already have been equipped with clear syntax/semantics and efficient pattern matching algorithms. Their functions can be further strengthened with recent algorithms such as real-time search and reinforcement learning.

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