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...

This work aims at connecting developments in the theory of agency and implicit contracts with research on bounded rationality and agent based computational models. These are two related areas as implicit contracts are justified on the basis of bounded rationality, which additionally is one of...

This paper examines the implications of a 'strong' version of bounded rationality popular within computational and evolutionary game theory in which agents are represented by finite automata. It is argued that this view has unrealistic features in that agents of this kind are unable to...