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Computing the nucleolus of weighted voting games

机译:计算加权投票游戏的核仁

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Weighted voting games (WVG) are coalitional games in which an agent's contribution to a coalition is given by his weight, and a coalition wins if its total weight meets or exceeds a given quota. These games model decision-making in political bodies as well as collaboration and surplus division in multiagent domains. The computational complexity of various solution concepts for weighted voting games received a lot of attention in recent years. In particular, Elkind et al.(2007) studied the complexity of stability-related solution concepts in WVGs, namely, of the core, the least core, and the nucleolus. While they have completely characterized the algorithmic complexity of the core and the least core, for the nucleolus they have only provided an NP-hardness result. In this paper, we solve an open problem posed by Elkind et al. by showing that the nucleolus of WVGs, and, more generally, k-vector weighted voting games with fixed k, can be computed in pseudopolynomial time, i.e., there exists an algorithm that correctly computes the nucleolus and runs in time polynomial in the number of players n and the maximum weight W. In doing so, we propose a general framework for computing the nucleolus, which may be applicable to a wider of class of games.
机译:加权投票游戏(WVG)是一种联盟游戏,其中,代理对联盟的贡献由其权重决定,如果联盟的总权重达到或超过给定配额,则联盟获胜。这些游戏模型化了政治机构中的决策以及多主体领域中的协作和剩余分配。近年来,加权投票游戏的各种解决方案概念的计算复杂性引起了很多关注。特别是,Elkind等人(2007年)研究了WVG中与稳定性相关的解决方案概念(即核心,最小核心和核仁)的复杂性。尽管他们已经完全表征了核和最小核的算法复杂性,但对于核仁,它们仅提供了NP硬度结果。在本文中,我们解决了Elkind等人提出的开放问题。通过证明可以在伪多项式时间内计算出WVG的核仁,更普遍地讲,具有固定k的k矢量加权投票博弈,即,存在一种算法,该算法可以正确地计算核仁并按次数在时间多项式上运行玩家n和最大权重W。这样做,我们提出了一个计算核仁的通用框架,该框架可能适用于更广泛的游戏类别。

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