Efficient agent-based negotiation by predicting opponent preferences using AHP



Título del documento: Efficient agent-based negotiation by predicting opponent preferences using AHP
Revista: Journal of applied research and technology
Base de datos: PERIÓDICA
Número de sistema: 000427684
ISSN: 1665-6423
Autors: 1
1
Institucions: 1Anna University, Department of Computer Technology, Chromepet, Chennai. India
Any:
Període: Feb
Volum: 16
Número: 1
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés 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
Paraules clau: Redes,
Comercio electrónico,
Negociación automatizada,
Proceso analítico jerárquico
Keyword: Networks,
Electronic commerce,
Automated Negotiation,
Analytic hierarchic process
Text complet: Texto completo (Ver HTML) Texto completo (Ver PDF)