arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2602.02553physics.soc-phmath.DSq-bio.PE
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通过环境反馈的间接互惠

Indirect Reciprocity with Environmental Feedback

Beihang University(北京航空航天大学);Zhongguancun Laboratory(中关村实验室);State Key Laboratory of General Artificial Intelligence, BIGAI(通用人工智能全国重点实验室)

Yishen Jiang, Xin Wang, Ming Wei, Wenqiang Zhu, Longzhao Liu, Hongwei Zheng, Shaoting Tang

AI总结:

本文提出了一种共进化框架,通过环境反馈机制降低合作阈值,促进从低合作到稳定高合作的转变,揭示了声誉机构与环境约束耦合系统的进化动态。

摘要:

间接互惠通过社会规范将个体行为映射到声誉信号上,从而在陌生人社会中维持合作。现有理论框架假设环境是静态的,资源和收益结构是恒定的。然而,在现实系统中,个体的战略行为不仅塑造了他们的声誉,还诱导了集体层面的资源变化,在生态、经济或其他外部环境中,这又重塑了未来个体行动的激励机制。为克服这一限制,我们建立了一个共进化框架,将道德评估、策略更新和环境动态耦合在一起,使收益结构能够根据集体行为的生态后果动态调整。我们发现,这种环境反馈机制有助于降低合作出现的阈值,使系统能够自发从低合作状态过渡到稳定的高合作状态,从而减少对特定初始条件的依赖。此外,虽然宽松的规范在静态环境中表现出适应性,但在动态设置中,具有严格歧视的规范被证明对遏制机会主义和维持进化韧性至关重要。我们的结果揭示了涉及声誉机构和环境约束的耦合系统中的进化动态,为理解复杂环境中集体合作和社会治理提供了新的理论视角。

英文摘要:

Indirect reciprocity maintains cooperation in stranger societies by mapping individual behaviors onto reputation signals via social norms. Existing theoretical frameworks assume static environments with constant resources and fixed payoff structures. However, in real-world systems, individuals' strategic behaviors not only shape their reputation but also induce collective-level resource changes in ecological, economic, or other external environments, which in turn reshape the incentives governing future individual actions. To overcome this limitation, we establish a co-evolutionary framework that couples moral assessment, strategy updating, and environmental dynamics, allowing the payoff structure to dynamically adjust in response to the ecological consequences of collective actions. We find that this environmental feedback mechanism helps lower the threshold for the emergence of cooperation, enabling the system to spontaneously transition from a low-cooperation state to a stable high-cooperation regime, thereby reducing the dependence on specific initial conditions. Furthermore, while lenient norms demonstrate adaptability in static environments, norms with strict discrimination are shown to be crucial for curbing opportunism and maintaining evolutionary resilience in dynamic settings. Our results reveal the evolutionary dynamics of coupled systems involving reputation institutions and environmental constraints, offering a new theoretical perspective for understanding collective cooperation and social governance in complex environments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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