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 analyze the learning process of purely and impurely altruistic...

This paper examines the learning dynamics of boundedly rational agents, who are asked to voluntarily contribute to a discrete public good. In an incomplete information setting, we discuss contribution games and subscription games, the latter including a money-back guarantee in case of provision...

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 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 analyze the learning process of purely and impurely altruistic...

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The dynamic game is described by an Evolutionary Algorithm, which is shown to extend the applicability of ordinary replicator dynamics of...

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 analyze the learning process of purely and impurely altruistic...

This paper evaluates performance of human subjects and instances of a bidding model that interact in continuous-time double auction experiments. Asks submitted by instances of the seller model ("automated sellers") maximize the seller's expected surplus relative to a heuristic belief function,...

In many markets consumer biases do not affect prices, since competition forces firms to price their products close to marginal cost; competition protects the consumer. We show that noisy consumer product evaluations undermine the force of competition, enabling firms to charge high mark-ups in...

The Harris-Todaro model is reinterpreted under an evolutionary game approach, including the behavior of migrants under bounded rationality in a process of imitation or learning. A first feature is an improvement upon Harris-Todaro by replacing the sign-preserving function of the adjustment...