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 Society for Computational Economics in its series Modeling, Computing, and Mastering Complexity 2003 with number 01.
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Social Network; Discovery; Knowledge Diffusion;
Other versions of this item:
- Myong-Hun Chang & Joseph E Harrington Jr, 2002. "Discovery and Diffusion of Knowledge in an Endogenous Social Network," Economics Working Paper Archive 489, The Johns Hopkins University,Department of Economics.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
This paper has been announced in the following NEP Reports:
- NEP-CBE-2003-07-21 (Cognitive & Behavioural Economics)
- NEP-INO-2003-07-21 (Innovation)
- NEP-NET-2003-08-17 (Network Economics)
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