Self-managing agents for dynamic scheduling in manufacturing
Data(s) |
09/05/2013
09/05/2013
2008
23/04/2013
|
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Resumo |
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. |
Identificador |
DOI 10.1145/1388969.1389045 9781605581316 |
Idioma(s) |
eng |
Publicador |
ACM Press |
Relação |
http://dl.acm.org/citation.cfm?doid=1388969.1389045 |
Direitos |
openAccess |
Palavras-Chave | #Artificial intelligence #Problem solving, control methods, and search – scheduling #Distributed artificial intelligence - multiagent systems |
Tipo |
conferenceObject |