activity
20242026
most citedEvolutionary dynamics in stochastic nonlinear public goods games

26 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2026

Stereotyping by strategy standing diversifies cooperation patterns in indirect reciprocity

Ming Wei, Xin Wang, Wenqiang Zhu +4

Indirect reciprocity explains how cooperation evolves through social reputations. People observe others, assign reputations, and condition their future actions on these assignments…

physics.comp-ph2026

Reinforcement learning with reputation-based adaptive exploration promotes cooperation

An Li, Wenqiang Zhu, Chaoqian Wang +5

Reinforcement learning provides a framework for studying how individuals adjust their behavior through repeated interaction and feedback in social dilemmas. In Q-learning, explorat…

cs.GT2026★ 2 cited

The survival of the weakest in a biased donation game

Chaoqian Wang, Jingyang Li, Xinwei Wang +2

Cooperating first then mimicking the partner's act has been proven to be effective in utilizing reciprocity in social dilemmas. However, the extent to which this, called Tit-for-Ta…

physics.soc-ph2026

Indirect Reciprocity with Environmental Feedback

Yishen Jiang, Xin Wang, Ming Wei +4

Indirect reciprocity maintains cooperation in stranger societies by mapping individual behaviors onto reputation signals via social norms. Existing theoretical frameworks assume st…

nlin.AO2025

Nonlinear Public Goods Game in Dynamical Environments

Yishen Jiang, Xin Wang, Wenqiang Zhu +4

The evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics. Real-world collective interactions, particularly in…

physics.soc-ph2025★ 11 cited

Evolution of cooperation and competition in multilayer networks

Wenqiang Zhu, Xin Wang, Chaoqian Wang +5

Cooperation and competition coexist and coevolve in natural and social systems. Cooperation generates resources, which in turn, drive non-cooperative competition to secure individu…