We use a limited information environment to mimic the state of confusion in an experimental, repeated public goods game. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games. However, closer inspection shows that individual decay...

We consider two players facing identical discrete-time bandit problems with a safe and a risky arm. In any period, the risky arm yields either a success or a failure, and the first success reveals the risky arm to dominate the safe one. When payoffs are public information, the ensuing free-rider...

In this paper, we consider a committee of experts that decides whether to approve or reject a proposed innovation on behalf of society. In addition to a payoff linked to the adequateness of the committee's decision, each expert receives a disesteem payoff if he/she voted in favor of an ill-fated...

We provide an explanation for why committees may behave over-cautiously. A committee of experts makes a decision on a proposed innovation on behalf of 'society'. Each expert's signal about the innovation's quality is generated by the available evidence and the best practices of the experts'...