有资源争夺的非合作贡献博弈中纳什均衡的存在与验证

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Annals of Mathematics and Artificial Intelligence Pub Date : 2023-12-14 DOI:10.1007/s10472-023-09905-7
Nicolas Troquard
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引用次数: 0

摘要

资源贡献博弈是一类非合作博弈,在资源贡献博弈中,博弈者希望获得一捆资源,并被赋予一袋一袋的资源,他们可以将这些资源提供给所有人共同享用。然后,可用资源可用于实现他们的私人目标。当玩家的资源包可以从贡献的资源中提取出来时,他就有可能对贡献的资源概况感到满意。当潜在满意的参与者实际上无法全部获得他们的资源包时,就会发生资源争夺。参与者的偏好总是一成不变的(他们要么认为某种情况好,要么认为不好),而且是吝啬的(在两个同样好的情况之间,他们更倾向于自己贡献较少的情况)。对玩家来说,什么才是好的资源贡献情况,取决于他们对资源争夺的态度。我们研究了在三种棋手对资源争夺的态度下决定结果是否是纯纳什均衡的问题:公共争夺-厌恶、私人争夺-厌恶和争夺-容忍。我们特别证明,在一般情况下,当博弈者厌恶争夺时,这个问题比他们容忍争夺时更难解决。然后,我们确定了一类自然博弈,在这类博弈中,当存在竞争厌恶偏好时,问题变得简单易行,而且总是存在纳什均衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Existence and verification of Nash equilibria in non-cooperative contribution games with resource contention

In resource contribution games, a class of non-cooperative games, the players want to obtain a bundle of resources and are endowed with bags of bundles of resources that they can make available into a common for all to enjoy. Available resources can then be used towards their private goals. A player is potentially satisfied with a profile of contributed resources when his bundle could be extracted from the contributed resources. Resource contention occurs when the players who are potentially satisfied, cannot actually all obtain their bundle. The player’s preferences are always single-minded (they consider a profile good or they do not) and parsimonious (between two profiles that are equally good, they prefer the profile where they contribute less). What makes a profile of contributed resources good for a player depends on their attitude towards resource contention. We study the problem of deciding whether an outcome is a pure Nash equilibrium for three kinds of players’ attitudes towards resource contention: public contention-aversity, private contention-aversity, and contention-tolerance. In particular, we demonstrate that in the general case when the players are contention-averse, then the problem is harder than when they are contention-tolerant. We then identify a natural class of games where, in presence of contention-averse preferences, it becomes tractable, and where there is always a Nash equilibrium.

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来源期刊
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
3.00
自引率
8.30%
发文量
37
审稿时长
>12 weeks
期刊介绍: Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors. Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.
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