Game theory of undirected graphical models

IF 0.8 2区 数学 Q2 MATHEMATICS Journal of Algebra Pub Date : 2025-03-15 Epub Date: 2024-12-06 DOI:10.1016/j.jalgebra.2024.12.004
Irem Portakal , Javier Sendra–Arranz
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Abstract

An n-player game X in normal form can be modeled via undirected discrete graphical models where the discrete random variables represent the players and their state spaces are the set of pure strategies. There exists an edge between the vertices of the graphical model whenever there is a dependency between the associated players. We study the Spohn conditional independence (CI) variety VX,C, which is the intersection of the independence model MC with the Spohn variety of the game X. We prove a conjecture by the first author and Sturmfels that VX,C is of codimension n in MC for a generic game X with binary choices. We show that the set of totally mixed CI equilibria i.e. the restriction of the Spohn CI variety to the open probability simplex is a smooth semialgebraic manifold for a generic game X with binary choices. If the undirected graph is a disjoint union of cliques, we analyze certain algebro-geometric features of Spohn CI varieties and prove affine universality theorems.
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无向图形模型的博弈论
正常形式的n人博弈X可以通过无向离散图形模型建模,其中离散随机变量表示参与者,其状态空间是纯策略集。每当相关玩家之间存在依赖关系时,图形模型的顶点之间就存在一条边。我们研究了独立模型MC与博弈X的Spohn变量的交集——Spohn条件独立(CI)变量VX,C。我们证明了第一作者和Sturmfels关于具有二元选择的一般博弈X在MC中的余维数为n的猜想。我们证明了具有二元选择的一般对策X的完全混合CI均衡集即Spohn CI变化对开概率单纯形的限制是光滑的半代数流形。如果无向图是团的不相交并,我们分析了Spohn CI的某些代数几何特征,并证明了仿射普适定理。
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来源期刊
Journal of Algebra
Journal of Algebra 数学-数学
CiteScore
1.50
自引率
22.20%
发文量
414
审稿时长
2-4 weeks
期刊介绍: The Journal of Algebra is a leading international journal and publishes papers that demonstrate high quality research results in algebra and related computational aspects. Only the very best and most interesting papers are to be considered for publication in the journal. With this in mind, it is important that the contribution offer a substantial result that will have a lasting effect upon the field. The journal also seeks work that presents innovative techniques that offer promising results for future research.
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