We investigate dynamic coordination among members of a problem-solving team who receive private signals about which of their actions are required for a (static) coordinated solution and who have repeated opportunities to explore different action combinations. In this environment ordinal...

We study decentralized learning in organizations. Decentralization is captured through a symmetry constraint on agents’ strategies. Among such attainable strategies, we solve for optimal and equilibrium strategies. We model the organization as a repeated game with imperfectly observable...

In this paper we experimentally investigate decentralized, organizational learning. The main objective is to understand how learning members of an organization cope with the confounding effects of the simultaneous learning of others. We use versions of a simple "success-or-failure" game due to...