Discovery and Diffusion of Knowledge in an Endogenous Social Network

Myong-Hun Chang () and Joseph Harrington ()

Economics Working Paper Archive from The Johns Hopkins University,Department of Economics

Abstract: 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.

Date: 2002-12
New Economics Papers: this item is included in nep-cbe
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Citations: View citations in EconPapers (4)

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Working Paper: Discovery and Diffusion of Knowledge in an Endogenous Social Network
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