在具有优先选择的空间囚徒困境博弈中,环境反馈促进合作

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-06-15 Epub Date: 2025-01-31 DOI:10.1016/j.amc.2025.129331
Minlan Li , Chao Wang , Yanyan Han , Si-Yi Wang , Ruiwu Wang
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引用次数: 0

摘要

环境与合作水平之间的相互影响是一个普遍存在的现实。合作水平的变化影响环境质量,而环境条件反过来又影响个体的适合度和行为。从这种内在的相互作用中获得灵感,我们研究了环境反馈在空间囚徒困境博弈中的作用。我们通过引入反馈参数建立了两个离散的环境状态。此外,我们还考虑了一种更现实的情况,即由于优先选择,适应度较高的个体更有可能被邻居模仿。我们的研究结果表明,在优先选择的驱动下,环境反馈有效地促进了合作。此外,还确定了一个具体的参数范围,在这个范围内,合作的加强最为明显。值得注意的是,我们观察到环境反馈本身并不能增强合作,这一结果可能与所采用的反馈公式的性质有关。这些结果为复杂系统中合作的出现和进化提供了有价值的见解。
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Environmental feedback promotes cooperation in a spatial prisoner's dilemma game with preferential selection
The reciprocal influence between the environment and the cooperation level is a ubiquitous reality. Changes in cooperation levels impact environmental quality, while environmental conditions, in turn, affect individual fitness and behavior. Drawing inspiration from this inherent interplay, we investigate the role of environmental feedback on the spatial prisoner's dilemma game. We establish two discrete environmental states by introducing a feedback parameter. Furthermore, we incorporate a more realistic scenario wherein individuals with higher fitness are more likely to be imitated by their neighbors due to preferential selection. Our findings reveal that environmental feedback efficiently fosters cooperation, driven by the preferential selection. Moreover, a specific parameter range is identified in which the enhancement for cooperation is most pronounced. Notably, we observe that environmental feedback alone does not enhance cooperation, a result potentially linked to the nature of feedback formulations employed. These results provide valuable insights into the emergence and evolution of cooperation within complex systems.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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