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dc.contributor.author | Sanchez-Anguix, Víctor | es_ES |
dc.contributor.author | Tunali, Okan | es_ES |
dc.contributor.author | Aydogan, Reyhan | es_ES |
dc.contributor.author | Julian, Vicente | es_ES |
dc.date.accessioned | 2022-05-27T18:05:17Z | |
dc.date.available | 2022-05-27T18:05:17Z | |
dc.date.issued | 2021-07 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/182964 | |
dc.description.abstract | [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. | es_ES |
dc.description.sponsorship | This work was partially supported by the MINECO/FEDER RTI2018-095390-B-C31 project of the Spanish government and partially supported by a grant of The Scientific and Research Council of Turkey (TUBITAK) with grant number 118E197. The contents of this article reflect the ideas and positions of the authors and do not necessarily reflect the ideas or positions of TUBITAK. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Automated negotiation | es_ES |
dc.subject | Intelligent agents | es_ES |
dc.subject | Multiagent systems | es_ES |
dc.subject | Agreement technologies | es_ES |
dc.subject | Heuristic negotiation | es_ES |
dc.subject | Optimization | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Can Social Agents Efficiently Perform in Automated Negotiation? | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app11136022 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095390-B-C31/ES/HACIA UNA MOVILIDAD INTELIGENTE Y SOSTENIBLE SOPORTADA POR SISTEMAS MULTI-AGENTES Y EDGE COMPUTING/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/TUBITAK//118E197/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.description.bibliographicCitation | Sanchez-Anguix, V.; Tunali, O.; Aydogan, R.; Julian, V. (2021). Can Social Agents Efficiently Perform in Automated Negotiation?. Applied Sciences. 11(13):1-26. https://doi.org/10.3390/app11136022 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app11136022 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 26 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.description.issue | 13 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\441153 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Scientific and Technological Research Council of Turkey | es_ES |