A negotiation team is a set of agents with common and possibly also conflicting preferences that forms
one of the parties of a negotiation. A negotiation team is involved in two decision making processes
simultaneously, a negotiation with the opponents, and an intra-team process to decide on the moves
to make in the negotiation. This article focuses on negotiation team decision making for circumstances
that require unanimity of team decisions. Existing agent-based approaches only guarantee unanimity
in teams negotiating in domains exclusively composed of predictable and compatible issues. This article
presents a model for negotiation teams that guarantees unanimous team decisions in domains consisting
of predictable and compatible, and alsounpredictable issues. Moreover, the article explores the influence of
using opponent, and team member models in the proposing strategies that team members use. Experimental
results show that the team benefits if team members employ Bayesian learning to model their
teammates’ preferences.
2014 Elsevier B.V. All rights reserved.This research is partially supported by TIN2012-36586-C03-01 of the Spanish government and PROMETEOII/2013/019 of Generalitat Valenciana. Other part of this research is supported by the Dutch Technology Foundation STW, applied science division of NWO and the Technology Program of the Ministry of Economic Affairs; the Pocket Negotiator Project with Grant No. VICI-Project 08075.Sánchez Anguix, V.; Aydogan, R.; Julian Inglada, VJ.; Jonker, C. (2014). Unanimously acceptable agreements for negotiation teams in unpredictable domains. Electronic Commerce Research and Applications. 13(4):243-265. https://doi.org/10.1016/j.elerap.2014.05.002S24326513
