Communications of the ACM
Decentralized Autonomous FMS Control by Hypothetical Reasoning Including Discrete Simulator
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Goal-Driven Similarity Assessment
GWAI '92 Proceedings of the 16th German Conference on Artificial Intelligence: Advances in Artificial Intelligence
A distributed routing method for AGVs under motion delay disturbance
Robotics and Computer-Integrated Manufacturing
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This paper describes a method to control Autonomous decentralized Flexible Manufacturing System (AD-FMS) by using a memory to determine a priority ranking for competing hypotheses. The aim is to increase the reasoning efficiency of a system the author calls reasoning to anticipate the future (RAF) which controls automatic guided vehicles (AGVs) in AD-FMSs. The system includes memory data of past production conditions and AGV actions. Using these memory data, the system reorders hypotheses by giving the highest priority ranking to the hypothesis that is most likely to be true. The system was applied to an AD-FMS that was constructed on a computer. The results showed that, compared with conventional reasoning, this reasoning system reduced the number of hypothesis replacements until a true hypothesis was reached.