Argumentation as Distributed Belief Revision: Conflict Resolution in Decentralised Multi-agent Systems
Data(s) |
27/10/2014
27/10/2014
2001
20/10/2014
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Resumo |
Decentralised co-operative multi-agent systems are computational systems where conflicts are frequent due to the nature of the represented knowledge. Negotiation methodologies, in this case argumentation based negotiation methodologies, were developed and applied to solve unforeseeable and, therefore, unavoidable conflicts. The supporting computational model is a distributed belief revision system where argumentation plays the decisive role of revision. The distributed belief revision system detects, isolates and solves, whenever possible, the identified conflicts. The detection and isolation of the conflicts is automatically performed by the distributed consistency mechanism and the resolution of the conflict, or belief revision, is achieved via argumentation. We propose and describe two argumentation protocols intended to solve different types of identified information conflicts: context dependent and context independent conflicts. While the protocol for context dependent conflicts generates new consensual alternatives, the latter chooses to adopt the soundest, strongest argument presented. The paper shows the suitability of using argumentation as a distributed decentralised belief revision protocol to solve unavoidable conflicts. |
Identificador |
Benedita Malheiro; Eugénio Oliveira. Argumentation as Distributed Belief Revision: Conflict Resolution in Decentralised Multi-agent Systems, In Proceedings of the 10th Portuguese Artificial Intelligence Meeting – EPIA’2001, 205-218, ISBN: 3-540-43030-X. Porto: Springer-Verlag, 2001. 978-3-540-43030-8 978-3-540-45329-1 http://hdl.handle.net/10400.22/5133 10.1007/3-540-45329-6_22 |
Idioma(s) |
eng |
Publicador |
Springer-Verlag |
Relação |
EPIA;2001 Lecture Notes in Computer Science;2258 Progress in Artificial Intelligence; http://link.springer.com/chapter/10.1007/3-540-45329-6_22 |
Direitos |
closedAccess |
Palavras-Chave | #Artificial Intelligence |
Tipo |
bookPart |