Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/239713 
Year of Publication: 
2013
Citation: 
[Journal:] Administrative Sciences [ISSN:] 2076-3387 [Volume:] 3 [Issue:] 3 [Publisher:] MDPI [Place:] Basel [Year:] 2013 [Pages:] 53-75
Publisher: 
MDPI, Basel
Abstract: 
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 network of an agent is also endogenous. Our main finding is that when agents are sufficiently effective at social learning, structure emerges in the form of specialization. Some agents focus on coming up with new ideas while the remainder of the population focuses on imitating worthwhile ideas.
Subjects: 
individual learning
social learning
organizational learning
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
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