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.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 489
- Klassifikation
-
Wirtschaft
- Thema
-
Social Capital
Wissenstransfer
Lernprozess
Innovation
Produktivität
Theorie
Soziales Netzwerk
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Chang, Myong-hun
Harrington, Joseph E.
- Ereignis
-
Veröffentlichung
- (wer)
-
The Johns Hopkins University, Department of Economics
- (wo)
-
Baltimore, MD
- (wann)
-
2003
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Chang, Myong-hun
- Harrington, Joseph E.
- The Johns Hopkins University, Department of Economics
Entstanden
- 2003