A reliable algorithm for multi-agent coalition formation

S. Aknine
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引用次数: 4

Abstract

Efficiency is a major concern for all problem solving systems. One way of achieving efficiency in multi-agent systems is the application of cooperation techniques to speed up problem solving. Coalition formation can improve the performances of a multi-agent system by solving problems collectively. Given the different work done on coalition formation, unfortunately, many approaches present several gaps in the definition of the agent behavioral algorithms for coalition formation. The research presented in the article outlines the problems found in these approaches and offers a solution to this problem by using preference models.
一种可靠的多智能体联盟形成算法
效率是所有问题解决系统的主要关注点。在多智能体系统中提高效率的途径之一是应用协作技术来加快问题的求解速度。联盟的形成可以通过集体解决问题来提高多智能体系统的性能。不幸的是,考虑到在联盟形成上所做的不同工作,许多方法在联盟形成的代理行为算法的定义上存在一些空白。本文提出的研究概述了在这些方法中发现的问题,并通过使用偏好模型提供了解决这个问题的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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