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Distributed Coalition Structure Generation with Positive and Negative Externalities

机译:分布式联盟结构生成阳性和负面的外部性

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One research challenge in multi-agent systems is how to partition a set of agent into coalition structures. The number of different coalitions for a set of agents grows exponential with the number of agents and the number of different partitions grows even faster. The common approach for this problem is to search for the coalition structure that maximizes the system outcome (denoted CS~?). Until recently, most algorithms that solve this problem considered that the value of a coalition is given by a characteristic function, in where those values are not influenced by factors that are external to the coalition. More recently, several authors have focused on problems that consider the presence of externalities. In this case, centralized algorithms were developed to search for the CS~?, but no algorithm was developed to work in a distributed environment. This paper presents a distributed algorithm for searching coalition structures under presence of externalities.
机译:多代理系统中的一个研究挑战是如何将一组代理分配到联盟结构中。一组代理的不同联盟的数量与代理人数的指数增长,不同分区的数量甚至更快地增长。这个问题的常见方法是搜索最大化系统结果的联盟结构(表示为CS〜?)。直到最近,大多数解决这个问题的算法认为,联盟的值由特征函数给出,在那些值不受联盟外部的因素的影响中。最近,若干作者侧重于考虑外部性存在的问题。在这种情况下,开发了集中算法以搜索CS〜?,但是没有开发算法在分布式环境中工作。本文介绍了在外部性存在下搜索联盟结构的分布式算法。

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