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A Stable and Feasible Payoff Division for Coalition Formation in a Class of Task Oriented Domains

机译:一类面向任务领域的联盟形成的稳定可行的回报部门

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摘要

In the last few years the use of coalition formation algorithms in multi-agent systems has been proposed as a possible way of modelling autonomous agent cooperation. Game theory provides different concepts for the stability of solutions in cooperative games, regarding the fairness of the resultant payment configuration. One of these is the core. In this paper we present an analysis-based upon game theory-for a class of task-oriented problems arising from some Internet transactions. A procedure that guarantees an optimum task allocation is defined, and a new payoff division model is proposed for the corresponding value. We prove that the proposed payoff division lies inside the core. The whole computation (of the optimal value and the payoffs) has a polynomial complexity in the number of agents.
机译:在最近几年中,已经提出在多智能体系统中使用联盟形成算法作为建模自主智能体协作的一种可能方式。博弈论为合作博弈中解决方案的稳定性提供了不同的概念,涉及到最终支付配置的公平性。其中之一是核心。在本文中,我们提出了一种基于博弈论的分析方法,针对一类因某些互联网交易而产生的面向任务的问题。定义了确保最佳任务分配的过程,并为相应的值提出了新的回报划分模型。我们证明拟议的支付部门位于核心内部。整个计算(最优值和收益)在代理数量上具有多项式复杂性。

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