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

A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated Prisoner's Dilemma …

neoclassical assumption of selfish utility maximization with bounded rationality and satisficing and by incorporating the reaction …

, other relevant elements affecting it; (3) experience and learning seem also to play a relevant role in influencing the … evolution of satisfaction. In fact, a training in a situation in which coordination is difficult, improve the mean levels of … literature on individual decision making and on Herbert Simon's satisficing model. …

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 …