This letter proposes a novel form of continuous-time evolutionary game dynamics for generalized Nash equilibrium seeking in equality-constrained population games. Using Lyapunov stability theory and duality theory, we provide sufficient conditions to guarantee the asymptotic stability, non-emptiness, compactness, optimality equilibria set proposed certain Moreover, illustrate our theoretical de...

We discuss how to use evolutionary game theory (EGT) as a framework for studying how cultural dynamics and structural properties can influence the evolution of norms and behaviors within a society. We provide a brief tutorial on how EGT works, and discuss what kinds of insights it can provide. We then describe three published studies in which we have developed EGT models that help explain how s...

Game theory models and analyzes the situations of conflict and cooperation among independent decision-makers. We can view the runs of a multi-agent system as a game where the interactions of agents is referred as the strategies of players, thenceforth we can use game theory to model the knowledge of agents. This paper review the basic results of game theory and propose a future direction that i...

Franchised store chain is the most popular business model today. The franchisor and franchisees share same brand, but value of entire brand will be degraded once one side pursues self-interests in management. From perspective franchised chain, this paper develops an evolutionary game between under assumption bounded rationality. strategic selection includes cooperation no-cooperation. In end, c...

Network throughput and energy conservation are two conflicting important performance metrics for wireless sensor networks. Since these two objectives are in conflict with each other, it is difficult to achieve them simultaneously. In this paper, a joint duty cycle scheduling and energy aware routing approach is proposed based on evolutionary game theory which is called DREG. Making a trade-off ...

This paper links the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that economic learning via genetic algorithms can be described as a speci"c form of an evolutionary game. It will be pointed out that GA learning results in a series of near Nash equilibria which during the learning process build up to "nally approach a neighborhood of an evolutionarily stabl...