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Unanimously acceptable agreements for negotiation teams in unpredictable domains

机译:不可预测领域中的协商团队的一致接受的协议

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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. (C) 2014 Elsevier B.V. All rights reserved.
机译:谈判团队是一组具有共同甚至可能相互冲突的偏好的代理,它们构成了谈判的一方。谈判团队同时参与两个决策过程,即与对手进行谈判,以及团队内部过程来决定谈判中的动作。本文重点讨论在需要团队决策一致的情况下进行团队决策的谈判。现有的基于代理的方法只能保证在仅由可预测且兼容的问题组成的领域中进行团队协商的一致性。本文为谈判团队提供了一个模型,该模型可以保证在可预测和兼容以及不可预测问题组成的领域中团队的一致决定。此外,本文探讨了使用对手和团队成员模型在团队成员使用的提议策略中的影响。实验结果表明,如果团队成员采用贝叶斯学习方法来模拟队友的偏好,那么团队将从中受益。 (C)2014 Elsevier B.V.保留所有权利。

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