Evolutionary analysis of a simple Minority Game: Coexistence, dominance, and paradoxical outcomes

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
Guilherme Fernandes, Lucas Wardil
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引用次数: 0

Abstract

The Minority Game models the El Farol Bar problem, where individuals decide whether to attend the bar based on expected crowd size. Despite extensive study, the interactions between specific strategies remain underexplored due to the model’s complexity. In this work, we analyze a simplified version of the Minority Game where each player follows a fixed strategy based solely on the outcome of the last winning action. We demonstrate that the long-term population dynamics is determined by two key inequalities that are defined in terms of the number of strategies in the population. Using an evolutionary framework with a death-and-birth process, we perform an invasion analysis to study how a single mutant strategy interacts with a resident population. Our results reveal two possible evolutionary outcomes: stable coexistence of competing strategies or dominance of one strategy, which paradoxically leads to its own disadvantage by becoming the majority. However, by extending our evolutionary analysis to the full set of strategies, we demonstrate that evolutionary dynamics consistently drive the system toward the coexistence of two strategies, preventing the paradoxical outcome.
简单少数博弈的进化分析:共存、优势和矛盾结果
少数派博弈模拟了 El Farol 酒吧问题,即个人根据预期的人群规模决定是否去酒吧。尽管对该模型进行了广泛研究,但由于其复杂性,特定策略之间的相互作用仍未得到充分探讨。在这项研究中,我们分析了一个简化版的少数人博弈,在这个博弈中,每个博弈者只根据最后一次获胜行动的结果来采取固定策略。我们证明,种群的长期动态是由两个关键不等式决定的,这两个不等式是根据种群中的策略数量定义的。我们利用一个具有死亡和出生过程的进化框架,进行了入侵分析,研究了单一突变策略如何与常住种群相互作用。我们的研究结果揭示了两种可能的进化结果:相互竞争的策略稳定共存,或者一种策略占主导地位,但矛盾的是,这种策略成为多数策略,从而导致自身处于不利地位。然而,通过将我们的进化分析扩展到全套策略,我们证明了进化动力学一直在推动系统朝着两种策略共存的方向发展,从而避免了矛盾的结果。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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