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
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Head-on collision avoidance by knowledge exchange under RAF control of autonomous decentralized FMS
Transactions on computational collective intelligence III
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This paper describes a method that uses memory to determine a priority ranking for competing hypotheses. The aim is to increase the reasoning efficiency of a system which controls Automatic Guided Vehicles (AGVs) in Autonomous Decentralised Flexible Manufacturing Systems (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 constructed on a computer. The results showed that this reasoning system reduced the number of hypothesis replacements.