Introducing strategy complexity into the basic conflict of cooperation and defection is a
natural response to avoid the tragedy of the common state. As an intermediate approach …

Evolutionary game has applications in many fields, from engineering to economics and
social sciences. Applying evolutionary games to complex networks has become a hot …

It is an arduous task to explore the internal mechanism of the widespread existence of
cooperative behaviors in diverse biological systems. The influence of multigames and …

Social network-based tasks frequently emphasize the influence of direct neighbors on
human decision-making. However, there is no objective consensus on whether direct …

Reinforcement learning has been demonstrated to be an effective approach to investigate
the dynamic of strategy updating and the learning process of agents in game theory. Most …

Why would natural selection facilitate the prevailing cooperation in selfish groups of
individuals? A common framework for studying this problem is evolutionary game theory …

Considering the population diversity and the limitation of individual information in repeated
N-person games, we study a spatial multi-games model under the myopic rule in this paper …

Agent's learning behavior usually presents biased judgments influenced by many internal
and external reasons, we incorporate an improved Q-learning algorithm in the reinforcement …

The question of whether a minority of extremists can dominate the collective behavior in
social dilemmas is crucial for understanding the evolution of cooperation in both human …