Enhancing performance of cooperating agents in real-time diagnostic systems

Authors:
U. M. Schwuttke;A. G. Quan
Affiliations:
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA;Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA
Venue:
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Year:
1993

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Abstract

We present a data-driven protocol and a supporting architecture for communication among cooperating intelligent agents in real-time diagnostic systems. The system architecture and the exchange of information among agents are based on simplicity of agents, hierarchical organization of agents, and modular non-overlapping division of the problem domain. These features combine to enable efficient diagnosis of complex system failures in real-time environments with high data volumes and moderate failure rates. Preliminary results of the real-world application of this work to the monitoring and diagnosis of complex systems are discussed in the context of NASA's interplanetary mission operations.