high probability or almost surely, respectively. These convergence results yield conditions for the learning models in [13 …We provide a general framework to study stochastic sequences related to individual learning in economics, learning … automata in computer sciences, social learning in marketing, and other applications. More precisely, we study the asymptotic …

under learning as a SRA (stochastic recursive algorithm) and to analyze convergence by the method of stochastic …This chapter provides a survey of the recent work on learning in the context of macroeconomics. Learning has several … roles. First, it provides a boundedly rational model of how rational expectations can be achieved. Secondly, learning acts …

The dynamic choice between individual and social learning is explored for a population of autonomous agents whose … objective is to find solutions to a stream of related problems. The probability that an agent is in the individual learning mode …, as opposed to the social learning mode, evolves over time through reinforcement learning. Furthermore, the communication …