@inproceedings{166d42f5bb6f4ca4b2b0e1c40d91aa41,
title = "Real-time control of decentralized autonomous flexible manufacturing systems by using memory and oblivion",
abstract = "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 the author calls reasoning to anticipate the future (RAF), which controls automatic guided vehicles (AGVs) in autonomous decentralized 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 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.",
author = "Hidehiko Yamamoto and Qudeiri, {Jaber Abu} and Jamali, {M. A.}",
year = "2006",
doi = "10.1007/11892960_31",
language = "English",
isbn = "3540465359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "252--259",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}