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多任务机制对进化博弈中合作的影响。

The effect of multi-tasks mechanism on cooperation in evolutionary game.

机构信息

School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.

School of Economics and Finance, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China.

出版信息

Chaos. 2024 Aug 1;34(8). doi: 10.1063/5.0210787.

Abstract

Human games are inherently diverse, involving more than mere identity interactions. The diversity of game tasks offers a more authentic explanation in the exploration of social dilemmas. Human behavior is also influenced by conformity, and prosociality is a crucial factor in addressing social dilemmas. This study proposes a generalized prisoner's dilemma model of task diversity that incorporates a conformity-driven interaction. Simulation findings indicate that the diversity of multi-tasks and the path dependence contribute to the flourishing of cooperation in games. Conformity-driven interactions also promote cooperation. However, this promotion effect does not increase linearly, and only appropriate task sizes and suitable proportions of conformity-driven interactions yield optimal results. From a broader group perspective, the interplay of network adaptation, task size, and conformity-driven interaction can form a structure of attractors or repellents.

摘要

人类博弈本质上是多样化的,不仅仅涉及身份互动。游戏任务的多样性为探索社会困境提供了更真实的解释。人类行为也受到从众的影响,亲社会行为是解决社会困境的关键因素。本研究提出了一种包含从众驱动交互的任务多样性广义囚徒困境模型。模拟结果表明,多任务的多样性和路径依赖性有助于游戏中合作的繁荣。从众驱动的交互也促进了合作。然而,这种促进作用并不是线性增加的,只有适当的任务规模和从众驱动交互的适当比例才能产生最佳效果。从更广泛的群体角度来看,网络适应、任务规模和从众驱动交互的相互作用可以形成吸引子或排斥子的结构。

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