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Designing of Rescue Multi Agent System Based on Soft Computing TechniquesSHAMSHIRBAND, S. S. , SHIRGAHI, H. , SETAYESHI, S.
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multi agent system, reinforcement learning, cooperative, rescue agents
learning(7), agent(6), multi(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 79 - 83
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01014
Web of Science Accession Number: 000275458900014
SCOPUS ID: 77954686893
The goal of rescuer Multi agent's project is to simulate urban unpleasant incidents and events to reduce the rate of detriment of this event. The various rescuer forces attempt to do their best duties. One of the most important problems in multi agent system is communication among agents. Most of the various algorithms in multi agent system so far has share of duties, negotiation, learning and searching need to various forms of communication among agents. In the paper we attempt to rescue the most wounded using Reinforcement learning to be able to gain the shortest time.
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 STFTP: Secure TFTP Protocol for Embedded Multi-Agent Systems Communication, HORVAT, G., ZAGAR, D., MARTINOVIC, G., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02004 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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