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Dependency in Cooperative Boolean Games

机译:合作布尔游戏中的依存关系

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摘要

Cooperative boolean games (CBG) are a family of coalitional games where agents may depend on each other for the satisfaction of their personal goals. In Dunne et al. (2008, Cooperative Boolean games. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagenl Systems (AAMAS 2008), 1015-1022), the authors define as solution concept the notion of core showing that several decision problems, such as core-emptiness, are Π~p_2-complete. In this work, we investigate how to improve the computation of the core. In particular, we introduce two different types of dependence networks, abstract dependence networks and refined dependence networks, that are used to define the notion of stable coalitions and A-reduction, respectively. Stable coalitions enable to focus on a subset of the agents and use results to determinate the core of the whole game. A-reduction prunes the search space by returning a set of actions that are not admissible to be executed. We present an algorithm based on stable coalitions and a A-reduction implemented in Prolog and experimental results that show how they effectively improve the computation of the core.
机译:布尔合作游戏(CBG)是一个联盟游戏家族,代理商可能会相互依赖以实现其个人目标。在邓恩等。 (2008年,合作布尔游戏。在第七届国际自治代理与多元代理系统国际联合会议论文集(AAMAS 2008),1015-1022中),作者将核心概念定义为解决方案概念,该概念表明一些决策问题,例如核心-空度,是Π〜p_2完全。在这项工作中,我们研究了如何改善核的计算。特别是,我们介绍了两种不同类型的依赖性网络,即抽象依赖性网络和精细依赖性网络,分别用于定义稳定联盟和A约简的概念。稳定的联盟使我们能够专注于特工的一个子集,并使用结果来确定整个游戏的核心。 A归约通过返回一组不允许执行的动作来修剪搜索空间。我们提出了一种基于稳定联盟的算法,并在Prolog中实现了A约简,并给出了实验结果,这些结果表明了它们如何有效地改善了核心计算。

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