The minimum effort coordination game uncovers the prevalence of a major economic problem, coordination failure. Involved in a game of imperfect information that displays a number of Pareto ranked equilibria, players (in laboratory experiments) do not choose the efficient, but the inefficient but...

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...

The ultimatum game is (in)famous for its `anomalies': The outcomes of laboratory experiments are very different from the results generated by traditional game theory. This paper aims to find to what extent these discrepancies between theory and experiments can be explained by the effects of...

The problem of coordination failure, particularly in "team production" situations, is central to a large number of mircroeconomic as well as macroeconomic models. As this type of inefficient coordination poses a severe economic problem, there is a need for institutions fostering efficient...

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We find that the contribution level converges towards the Nash...