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

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

all stylized facts observed in aggregate price fluctuations and individual forecasting behaviour in recent learning to …

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

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 …

metaphor for social learning. This paper will face the question what an economist can learn from the mathematical branch of … genetic algorithm learning is a compound of three different learning schemes. First, every particular scheme is analyzed. Then … it will be pointed out that it is the combination of the three schemes that gives genetic algorithm learning its special …

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 studies the evolution of peoples' models of how other people think - their theories of mind. First, this is … results are extended to a model of learning, in which type k plays a k times iterated best response the average of past play …