Arbeitspapier
Discovery and diffusion of knowledge in an endogenous social network
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.
- Language
-
Englisch
- Bibliographic citation
-
Series: Working Paper ; No. 489
- Classification
-
Wirtschaft
- Subject
-
Social Capital
Wissenstransfer
Lernprozess
Innovation
Produktivität
Theorie
Soziales Netzwerk
- Event
-
Geistige Schöpfung
- (who)
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Chang, Myong-hun
Harrington, Joseph E.
- Event
-
Veröffentlichung
- (who)
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The Johns Hopkins University, Department of Economics
- (where)
-
Baltimore, MD
- (when)
-
2003
- Handle
- Last update
- 10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Chang, Myong-hun
- Harrington, Joseph E.
- The Johns Hopkins University, Department of Economics
Time of origin
- 2003
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