WOS:000304940900001 (Nº de Acesso Web of Science)This paper furnishes a guide for the study of 2-dimensional evolutionary games in discrete time. Evolutionarily stable strategies are identified and nonlinear outcomes are explored. Besides the baseline payoffs of the established strategic interaction, the following elements are also vital to determine the dynamic outcome of a game: the initial fitness of each agent and the rule of motion that describes how individuals switch between strategies. In addition to the dynamic rule commonly used in evolutionary games, the replicator dynamics, we propose another rule, which acknowledges the role of expectations and sophisticates the replicator mechanism
Evolutionary game theory developed as a means to predict the expected distribution of individual beh...
The paper requires that equilibrium behavior for two person symmetric games be resistant to genetic ...
The present thesis considers two biologically significant processes: the evolution of populations of...
This paper proposes an evolutionary-game-theory model, called meta-evolutionary game dynamics, for s...
International audienceWe review some classical definitions and results concerning Evolutionarily Sta...
An overview of methods of mathematical modeling of evolutionary processes related to evolutionary ga...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
Every form of behavior is shaped by trial and error. Such stepwise adaptation can occur through indi...
abstract: This thesis explores and explains a stochastic model in Evolutionary Game Theory introduce...
Evolutionary game theorists have devoted a great deal of effort to answering questions related to co...
International audienceStandard Evolutionary Game Theory framework is a useful tool to study large in...
Population games describe strategic interactions among large numbers of small, anonymous agents. Beh...
Evolutionary game theory describes systems where individual success is based on the interaction with...
We analyze evolutionary games with replicator dynamics that have frequency dependent stage games. In...
At the beginning of my Master's thesis we define basic terms such as payoff, strategy, best reply an...
Evolutionary game theory developed as a means to predict the expected distribution of individual beh...
The paper requires that equilibrium behavior for two person symmetric games be resistant to genetic ...
The present thesis considers two biologically significant processes: the evolution of populations of...
This paper proposes an evolutionary-game-theory model, called meta-evolutionary game dynamics, for s...
International audienceWe review some classical definitions and results concerning Evolutionarily Sta...
An overview of methods of mathematical modeling of evolutionary processes related to evolutionary ga...
Classic life history models are often based on optimization algorithms, focusing on the adaptation o...
Every form of behavior is shaped by trial and error. Such stepwise adaptation can occur through indi...
abstract: This thesis explores and explains a stochastic model in Evolutionary Game Theory introduce...
Evolutionary game theorists have devoted a great deal of effort to answering questions related to co...
International audienceStandard Evolutionary Game Theory framework is a useful tool to study large in...
Population games describe strategic interactions among large numbers of small, anonymous agents. Beh...
Evolutionary game theory describes systems where individual success is based on the interaction with...
We analyze evolutionary games with replicator dynamics that have frequency dependent stage games. In...
At the beginning of my Master's thesis we define basic terms such as payoff, strategy, best reply an...
Evolutionary game theory developed as a means to predict the expected distribution of individual beh...
The paper requires that equilibrium behavior for two person symmetric games be resistant to genetic ...
The present thesis considers two biologically significant processes: the evolution of populations of...