Sanchez-Anguix Victor, Julian Vicente, Botti Vicente, García-Fornes Ana
Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain.
IEEE Trans Syst Man Cybern B Cybern. 2012 Jun;42(3):778-92. doi: 10.1109/TSMCB.2011.2177658. Epub 2011 Dec 26.
In this article, an agent-based negotiation model for negotiation teams that negotiate a deal with an opponent is presented. Agent-based negotiation teams are groups of agents that join together as a single negotiation party because they share an interest that is related to the negotiation process. The model relies on a trusted mediator that coordinates and helps team members in the decisions that they have to take during the negotiation process: which offer is sent to the opponent, and whether the offers received from the opponent are accepted. The main strength of the proposed negotiation model is the fact that it guarantees unanimity within team decisions since decisions report a utility to team members that is greater than or equal to their aspiration levels at each negotiation round. This work analyzes how unanimous decisions are taken within the team and the robustness of the model against different types of manipulations. An empirical evaluation is also performed to study the impact of the different parameters of the model.
在本文中，提出了一种基于智能体的谈判模型，用于与对手进行交易谈判的谈判团队。基于智能体的谈判团队是由多个智能体组成的群体，它们因与谈判过程相关的共同利益而联合成一个单一的谈判方。该模型依赖于一个可信的调解人，调解人在谈判过程中协调并帮助团队成员做出他们必须做出的决策：向对手发送何种报价，以及是否接受对手给出的报价。所提出的谈判模型的主要优势在于，它保证了团队决策的一致性，因为在每个谈判回合中，决策给团队成员带来的效用大于或等于他们的期望水平。这项工作分析了团队内部如何做出一致决策以及该模型对不同类型操纵的稳健性。还进行了实证评估，以研究模型不同参数的影响。
