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A Local Adaptive Perfect Coalition Structure Generation Problem Considering Coalition Breakup

机译:考虑联盟分手的局部自适应完美联盟结构生成问题

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Forming effective coalitions is a major issue in multiagent systems. The existing coalition structure generation (CSG) algorithms fail to determine the structure's robustness because agent withdrawals cannot be identified in all the coalition structures. The coalition lattice, which was proposed in a previous study, provides an evaluation of the coalition structure' s robustness and enables to apply the existing CSG algorithms. However, to construct the coalition lattice, the lower bounds for the coalition utilities must be considered. In the present study, robustness is redefined and an improved conversion algorithm is proposed. In particular, a method to estimate the upper and lower bound of the coalition values is presented. Furthermore, an effective algorithm to convert the problem of finding the coalition structures' robustness into a CSG problem is proposed. A case-study evaluation of the proposed method shows that it constructs the coalition lattice more efficiently.
机译:形成有效联盟是多元系统的一个主要问题。现有的联盟结构生成(CSG)算法未能确定结构的稳健性,因为在所有联盟结构中不能识别代理试剂。联盟格子在以前的一项研究中提出,提供了对联盟结构的稳健性的评估,并能够应用现有的CSG算法。但是,要构建联盟格子,必须考虑联盟公用事业的下限。在本研究中,重新定义了鲁棒性,提出了一种改进的转换算法。特别地,提出了一种估计联盟值的上限和下限的方法。此外,提出了一种将查找联盟结构稳健的问题转换为CSG问题的有效算法。该方法的案例研究评估表明,它更有效地构建联盟格子。

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