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The evolution of negotiation and impasse in two-party multi-issue bargaining

dc.contributor.authorLopes, Fernando
dc.contributor.authorNovais, Augusto Q.
dc.contributor.authorCoelho, Helder
dc.date.accessioned2010-12-02T10:43:38Z
dc.date.available2010-12-02T10:43:38Z
dc.date.issued2008-10-14
dc.description.abstractAutomated negotiation systems are becoming increasingly important and pervasive. Most previous research on automated negotiation has focused on understanding and formalizing “successful” negotiations, i.e., negotiations that do not become contentious to the point of impasse. This paper shifts the emphasis to negotiations that are “difficult” to resolve and can hit an impasse. It analyses a situation where two agents bargain over the division of the surplus of several distinct issues to demonstrate how a procedure to avoid impasses can be utilized in a specific negotiation setting. The procedure is based on the addition of new issues to the agenda during the course of negotiation and the exploration of the differences in the valuation of these issues to capitalize on Pareto optimal agreements. This paper also lays the foundation for performing an experiment to investigate how the evolution of negotiation contributes to the avoidance of impasses, paying particular attention to the expansion of the number of issues to be deliberated and its impact on the frequency of impassespor
dc.identifier.citationLopes, F.; Novais, A. Q.; Coelho, H. The evolution of negotiation and impasse in two-party multi-issue bargaining. In: Proceedings of Advances in Artificial Intelligence – IBERAMIA 2008, Lisboa 14-17, October, 2008, vol. 5290, p. 213-222por
dc.identifier.urihttp://hdl.handle.net/10400.9/1076
dc.language.isoengpor
dc.titleThe evolution of negotiation and impasse in two-party multi-issue bargainingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLisboapor
oaire.citation.titleAdvances in Artificial Intelligence – IBERAMIA 2008por
person.familyNameLopes
person.givenNameFernando
person.identifier.orcid0000-0002-2967-627X
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationa1153343-c1b9-406e-a83a-30dbee18d6a3
relation.isAuthorOfPublication.latestForDiscoverya1153343-c1b9-406e-a83a-30dbee18d6a3

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