We use experiments to study coordination in games with incomplete information. In the games, one player knows the payoffs, while the other player knows the probability of payoffs forming a prisoner's dilemma or a stag-hunt. When payoffs form a stag-hunt there are two Pareto ranked pure strategy...

In October 1956, the RAND Corporation establis hed the Logistics Systems Laboratory (LSL) with the goal of using simulation to translate the broad findings of normative microeconomics into detailed, implementable pr ocedures for US Air Force oper ations. The laboratory was housed in the training...

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 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 decision process of individuals is described by an Evolutionary Algorithm. We analyze the learning process of purely and impurely altruistic...

In October 1956, the RAND Corporation establis hed the Logistics Systems Laboratory (LSL) with the goal of using simulation to translate the broad findings of normative microeconomics into detailed, implementable pr ocedures for US Air Force oper ations. The laboratory was housed in the training...

A contest is a situation in which individuals or groups expend costly resources while competing to win a specific prize. The variety of economic situations that can be described as contests has attracted enormous attention from economic theorists. Despite the extensive theoretical research of...

This paper provides experimental evidence on how players predict end-game effects in a linear public good game. Our regression analysis yields a measure of the relative importance of priors and signals on subjects’ beliefs on contributions and allows us to conclude that, first, the weight of...

We contrast a standard deterministic signaling game with one where the signal-generating mechanism is stochastic. With stochastic signals a unique equilibrium emerges that involves separation and has intuitive comparative-static properties as the degree of signaling depends on the prior type...

If actors want to reach a particular goal, they are often better off forming collaborative relations and investing together rather than investing separately. We study the coordination and cooperation problems that might hinder successful collaboration in a dynamic network setting. We develop an...