A Theory of Learning with Heterogeneous Agents
研究由短期存在且信念异质的代理人组成的组织中的学习过程，证明行动序列收敛于事后最优行动集，信念收敛于真实状态，但可能几乎必然不收敛。
The authors study learning in organizations comprised of short-lived agents with heterogeneous beliefs. It is shown that the sequence of actions converges in probability to the set of ex-post optimal actions. Under some identifiability conditions, beliefs also converge in probability to point mass on the truth. Moreover, while actions and posterior beliefs converge in probability, they can simultaneously almost surely fail to converge. The authors' simulations of N. Kiefer's 1989 monopoly learning model suggest that, if the firm is operated by a sequence of short-lived managers with heterogeneous beliefs, then complete learning of the demand curve obtains. Copyright 1995 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.