Evolutionary dynamics of complex multiple games

Evolutionary dynamics of biological games.

Darwinian dynamics based on mutation and selection form the core of mathematical models for adaptation and coevolution of biological populations. The evolutionary outcome is often not a fitness-maximizing equilibrium but can include oscillations and chaos. For studying frequency-dependent selection, game-theoretic arguments are more appropriate than optimization algorithms. Replicator and adapt...

Exploration dynamics in evolutionary games.

Evolutionary game theory describes systems where individual success is based on the interaction with others. We consider a system in which players unconditionally imitate more successful strategies but sometimes also explore the available strategies at random. Most research has focused on how strategies spread via genetic reproduction or cultural imitation, but random exploration of the availab...

Evolutionary games on complex network

Cooperation is ubiquitous in the real world, ranging from biological systems to economic and social systems. Evolutionary game theory has been considered an important approach to characterizing and understanding the emergence of cooperative behavior in systems consisting of selfish individuals. In this paper, we review some of our works about dynamics of evolutionary games over complex networks...

Complex networks and evolutionary games

The Hawk–Dove game is a well known non-repeating evolutionary game often used as a simple model of biological or economic phenomenon. In the spatial version of this game, complex spatial and temporal dynamics emerge as a direct consequence of “agents” adopting one of two strategies in order to gain a valuable resource. In this study, the population dynamics are investigated in terms of the unde...

Population Games And Evolutionary Dynamics