Efficient agent-based negotiation by predicting opponent preferences using AHP



Document title: Efficient agent-based negotiation by predicting opponent preferences using AHP
Journal: Journal of applied research and technology
Database: PERIÓDICA
System number: 000427684
ISSN: 1665-6423
Authors: 1
1
Institutions: 1Anna University, Department of Computer Technology, Chromepet, Chennai. India
Year:
Season: Feb
Volumen: 16
Number: 1
Country: México
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract Negotiation is a process essential for a wide range of applications. The complex decisión making involved in negotiation makes its automation difficult. The complexity is further increased as negotiators hide their individual preferences from each other to avoid exploitation by the opponent. Even though sharing of prívate preference information leads to better agreement for both sides, it is never done in the absence of trust. In this work, we learn opponent's preference information from the offers given by the opponent using Analytic Hierarchy Process (AHP). We apply our approach to the negotiation of Quality-of-Service (QoS) parameters for the establishment of Service Level Agreements (SLA) between a provider and a consumer. Experimenta show that using AHP, the negotiations are faster and the agreements are on or nearer to the pareto-optimal line
Disciplines: Ciencias de la computación
Keyword: Redes,
Comercio electrónico,
Negociación automatizada,
Proceso analítico jerárquico
Keyword: Networks,
Electronic commerce,
Automated Negotiation,
Analytic hierarchic process
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