具有时间信息的合作演化
Evolution of cooperation with temporal information
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中文总结 AI 辅助
研究多智能体系统中合作演化，开发含时间信息的演化动力学框架，用时间网络表征信息动态变化。发现时间信息促进合作，稀疏网络优势更明显，据此开发算法增强合作，确定时间信息是促进集体合作的实用机制。
中文摘要 AI 辅助
策略学习支配着多智能体系统中集体合作的演化。尽管演化结果很大程度上取决于策略学习期间智能体可用的信息，但大多数研究将该信息的来源和数量视为随时间固定不变。然而在现实中，个体不断接触随时间变化的外部信息。在此，我们开发了一个具有时间信息的演化动力学通用框架，它使用时间网络来表征策略学习可用信息的动态变化，时变连接决定每个智能体的信息状态。在合成网络和实证网络中，我们发现时间信息相对于静态对应物持续促进合作。我们进一步证明，随着时间网络变得更稀疏，这种优势变得更明显。这种模式的出现是因为稀疏化放大了智能体之间的信息异质性，产生了对学习信息的不平等获取，这有助于合作策略的传播，与静态信息表述中异质性通常抑制合作形成鲜明对比。基于这一见解，我们开发了一种可解释算法，通过生成具有可调异质性的学习网络，大幅增强了跨不同网络的合作。我们的结果将时间信息确定为促进集体合作的一种现实且广泛适用的机制。
英文摘要
Strategy learning governs the evolution of collective cooperation in multi-agent systems. Although evolutionary outcomes depend strongly on the information available to agents during strategy learning, most studies treat both the source and amount of that information as fixed over time. In reality, however, individuals are continually exposed to external information that varies over time. Here we develop a general framework for evolutionary dynamics with temporal information, which uses temporal networks to characterize dynamic changes in information available for strategy learning, with time-varying connections determining each agent's information state. Across synthetic and empirical networks, we find that temporal information consistently promotes cooperation relative to their static counterparts. We further demonstrate that this advantage becomes more pronounced as temporal networks become sparser. This pattern arises because sparsification amplifies information heterogeneity among agents, creating unequal access to learning information that can facilitate the spread of cooperative strategies, in sharp contrast to static information formulations where heterogeneity often suppresses cooperation. Guided by this insight, we develop an interpretable algorithm that substantially enhances cooperation across diverse networks by generating learning networks with tunable heterogeneity. Our results identify temporal information as a realistic and broadly applicable mechanism for promoting collective cooperation.
