Can Social Agents Efficiently Perform in Automated Negotiation?

[EN] In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance by all parties involved in the negotiation. We argue that, while optimi...

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Detalles Bibliográficos
Autores: Sanchez-Anguix, Víctor|||0000-0003-4851-0037, Julian, Vicente|||0000-0002-2743-6037, Tunali, Okan, Aydogan, Reyhan
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/182964
Acceso en línea:https://riunet.upv.es/handle/10251/182964
Access Level:acceso abierto
Palabra clave:Automated negotiation
Intelligent agents
Multiagent systems
Agreement technologies
Heuristic negotiation
Optimization
LENGUAJES Y SISTEMAS INFORMATICOS
ESTADISTICA E INVESTIGACION OPERATIVA
Descripción
Sumario:[EN] In the last few years, we witnessed a growing body of literature about automated negotiation. Mainly, negotiating agents are either purely self-driven by maximizing their utility function or by assuming a cooperative stance by all parties involved in the negotiation. We argue that, while optimizing one's utility function is essential, agents in a society should not ignore the opponent's utility in the final agreement to improve the agent's long-term perspectives in the system. This article aims to show whether it is possible to design a social agent (i.e., one that aims to optimize both sides' utility functions) while performing efficiently in an agent society. Accordingly, we propose a social agent supported by a portfolio of strategies, a novel tit-for-tat concession mechanism, and a frequency-based opponent modeling mechanism capable of adapting its behavior according to the opponent's behavior and the state of the negotiation. The results show that the proposed social agent not only maximizes social metrics such as the distance to the Nash bargaining point or the Kalai point but also is shown to be a pure and mixed equilibrium strategy in some realistic agent societies.