Discovery and Diffusion of Knowledge in an Endogenous Social Network
Myong-Hun Chang ()
Authors registered in the RePEc Author Service: Joseph E. Harrington, Jr. ()
Modeling, Computing, and Mastering Complexity 2003 from Society for Computational Economics
We 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.
Keywords: Social Network; Discovery; Knowledge Diffusion (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-ino and nep-net
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Working Paper: Discovery and Diffusion of Knowledge in an Endogenous Social Network (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:sce:cplx03:01
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