The use of intelligently controlled simulation to predict a machine's long-term behavior

Authors:
Andrew Gelsey
Affiliations:
Computer Science Department, Rutgers University, New Brunswick, NJ
Venue:
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Year:
1991

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Abstract

I present algorithms for automated long-term behavior prediction which can recognize when a simulation has run long enough to produce a representative behavior sample, characterize the behavior, and determine whether this behavior will continue forever, or eventually terminate or otherwise change its charader. I have implemented these algorithms in a working program which does longterm behavior prediction for mechanical devices.