Discovery and Diffusion of Knowledge in an Endogenous Social Network
AbstractWe explore the evolution of the structure and performance of a social network in a population of individuals who search for local optima in diverse and dynamic task environments. Individuals choose whether to innovate or imitate and, in the latter case, from whom to learn. The probabilities of these possible actions respond to an individual's past experiences using reinforcement learning. Among some of our more interesting findings is that a population's performance is not monotonically increasing in either the reliability of the communication network or the productivity of innovation.
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Bibliographic InfoPaper provided by The Johns Hopkins University,Department of Economics in its series Economics Working Paper Archive with number 489.
Date of creation: Dec 2002
Date of revision:
Other versions of this item:
- Myong-Hun Chang, . "Discovery and Diffusion of Knowledge in an Endogenous Social Network," Modeling, Computing, and Mastering Complexity 2003 01, Society for Computational Economics.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
This paper has been announced in the following NEP Reports:
- NEP-CBE-2004-10-13 (Cognitive & Behavioural Economics)
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