Simulating knowledge-generation and -distribution processes in innovation collaborations and networks

  • An agent-based simulation model representing a theory of the dynamic processes involved in innovation in modern knowledge-based industries is described. The agent-based approach al-lows the representation of heterogeneous agents that have individual and varying stocks of knowledge. The simulation is able to model uncertainty, historical change, effect of failure on the agent population, and agent learning from experience, from individual research and from partners and collaborators. The aim of the simulation exercises is to show that the artificial innovation networks show certain characteristics they share with innovation networks in knowledge intensive industries and which are difficult to be integrated in traditional models of industrial economics.

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Metadaten
Author:Andreas PykaORCiDGND, Nigel Gilbert, Petra Ahrweiler
URN:urn:nbn:de:bvb:384-opus4-711523
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71152
Series (Serial Number):Volkswirtschaftliche Diskussionsreihe (287)
Publisher:Volkswirtschaftliches Institut, Universität Augsburg
Place of publication:Augsburg
Type:Working Paper
Language:English
Year of first Publication:2006
Publishing Institution:Universität Augsburg
Release Date:2020/02/21
Tag:JEL: O31, O32, L22
Pagenumber:20
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Journals:Volkswirtschaftliche Diskussionsreihe
Licence (German):Deutsches Urheberrecht