behavior that emerge in the market as a function of evolutionary learning rate, and to explain these emergent behaviors. We …

equilibrium dynamics resulting from this learning process helps to explain the main stylized facts of free-floating exchange rates …) and the number of agents (not more than about 1000). With a larger population, this collective learning dynamics looses …

This paper tries to connect 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 specific form of 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 finally reach a …

This paper tries to connect 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 specific form of 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 finally reach a …

based on genetic algorithms and the learning by injection of sequences for solving the flexible job-shop scheduling problem … strategy of learning (partial injection of sequences) in order to improve the total duration of the schedule or the makespan … learning by partial injection of sequences (GALIS.II). Numerical experiments show that our GALIS.II algorithm is effective for …

This paper tries to connect 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 specific form of 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 finally reach a …

[Goldman 1971]. Genetic Algorithms were developed following the biological mechanisms of evolution. Action Trees are used in … which one can describe the learning behaviour of agents and the changes in action spaces. Using the extremely simplified …

equilibrium dynamics resulting from this learning process helps to explain the main stylized facts of free-floating exchange rates …) and the number of agents (not more than about 1000). With a larger population, this collective learning dynamics looses …