Approaches to Increase the Performance of Agent-Based Production Systems

Authors:
Botond Kádár;Laszlo Monostori
Affiliations:
-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

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Abstract

The paper outlines two attempts to enhance the performance of agent-based manufacturing systems using adaptation/learning techniques. Some agent-level parameters are introduced, by which the system behavior can be tuned. The research was carried out with the help of a simulation framework for agent-based manufacturing architectures developed by the authors earlier. A short description of the framework, including the agents' structure, communication and cooperation techniques, is also given. The paper briefly introduces the main DAI approaches supporting the realization of distributed manufacturing structures, such as agent-based and holonic manufacturing systems. Some main results of this field are also enumerated.