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Multi-task Coalition Formation based on Task-group Structure

机译:基于任务组结构的多任务联盟形成

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Coalition formation is an important manner of communication among agents in MAS. Some previous works only pay attention to forming a coalition for each task respectively, and the gross income of MAS may be not maximal. Thus, combination task called task-group is originally taken into account. In this way, the main problem lies that to search a partition of the given set of tasks called task-group structure to maximize the gross income. However, considering all of those possible task-group structures is impossible with the increasing number of tasks. Thus, an algorithm is developed to predigest the graph of task-group structures, and a multi-task coalition formation algorithm is proposed.
机译:联盟形成是MAS中代理商之间的重要沟通方式。一些以前的作品只关注分别为每个任务形成联盟,而MAS的总收入可能不会最大。因此,最初考虑名为Task-Group的组合任务。通过这种方式,主要问题在于搜索给定的任务集的分区,称为任务组结构,以最大化总收入。但是,考虑到所有这些可能的任务组结构,对于越来越多的任务而言是不可能的。因此,开发了一种算法以预先测试任务组结构的图形,并且提出了一种多任务联盟形成算法。

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