Strategy Diffusion and Conformity in Evolutionary Dynamics on General Networks

IF 2 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2025-01-27 DOI:10.1109/LCSYS.2025.3535301
Rio Aurachman;Giuliano Punzo
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Abstract

Networks of social interactions can drive the dynamics of socio-technical systems. In groups, where strategic decisions are shaped by the tension between cooperation and defection, the replicator equation serves as a valuable tool underpinning the modelling of evolutionary dynamics of strategies. In this letter, we integrate the replicator dynamics with an SI (Susceptible-Infected) model for information diffusion in general networks. Considering also conformity, we model the evolution of cooperation in a public good game. The trajectories of the resulting dynamical systems converge to consensus about an internal point solution in the snowdrift setting and boundary solutions of full cooperation or full defection in social dilemmas, asymmetric games and stag hunt settings. Through the application of the Lyapunov stability theorem, we establish the stability of the internal equilibrium point. We then examine the basin of attraction obtaining the conditions leading to full cooperation. This letter is relevant for the study of social dynamics in groups where strategic interactions are mediated by conformity.
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一般网络演化动力学中的策略扩散与整合
社会互动网络可以驱动社会技术系统的动态。在群体中,战略决策是由合作和背叛之间的紧张关系形成的,复制因子方程是支撑战略进化动力学建模的有价值的工具。在这封信中,我们将复制因子动力学与一般网络中信息扩散的SI(易感感染)模型相结合。考虑到一致性,我们建立了一个公共利益博弈中合作演化的模型。由此产生的动力系统的轨迹收敛于关于雪堆环境中的内部点解和社会困境、不对称博弈和猎鹿环境中完全合作或完全背叛的边界解的共识。应用李雅普诺夫稳定性定理,建立了内平衡点的稳定性。然后,我们考察吸引力的盆地,获得导致充分合作的条件。这封信与研究群体中的社会动态有关,在群体中,战略互动是由从众性介导的。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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