基于代理的协商机制的体系结构

Jen-Hsiang Chen, R. Anane, K. Chao, Nick Godwin
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引用次数: 20

摘要

促进移动团队合作的核心问题之一是创建和建立来自自主代理的团队。人们普遍认为,团队建设需要对共同利益进行表达并达成一致。本文描述了一种提供机制的方法,以促进团队的创建,并通过自动协商帮助解决冲突。协商机制是通过博弈论方法和协同进化方法的结合来实现的。这个方案包括一个过程,通过共同进化方法迭代生成一组策略,将这些策略编码到收益矩阵中,并通过博弈论方法对矩阵进行推理,以找到一个最优点。当博弈论方法找到一个满足两个代理的最优点时,这个过程就结束了。该系统的主要优点是,在不知道彼此策略的情况下,代理们就一个符合纳什均衡和帕累托效率的最佳解决方案达成一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Architecture of an agent-based negotiation mechanism
One of the central issues in facilitating mobile teamwork is the creation and establishment of teams from autonomous agents. It is widely accepted that team building assumes an expression of and agreement on, common interests. The paper describes an approach to the provision of mechanisms to facilitate the creation of teams and to help resolve conflict through automated negotiation. The negotiation mechanism is implemented by a combination of a game theory approach and a co-evolutionary approach. This scheme involves a process that iterates over the generation of a set of strategies by the co-evolutionary approach, the encoding of these strategies into a payoff matrix, and the reasoning on the matrix by the game theory approach in order to find an optimised point. The process terminates when the game theory approach finds an optimised point that satisfies both agents. The main advantage of this system is that agents, without knowing each other's strategies, agree on an optimised solution that conforms to Nash equilibrium and Pareto efficiency.
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