Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/72002 
Erscheinungsjahr: 
2003
Schriftenreihe/Nr.: 
Working Paper No. 489
Verlag: 
The Johns Hopkins University, Department of Economics, Baltimore, MD
Zusammenfassung: 
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.
Dokumentart: 
Working Paper

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