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.
Author: | Andreas PykaORCiDGND, Nigel Gilbert, Petra Ahrweiler |
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URN: | urn:nbn:de:bvb:384-opus4-711523 |
Frontdoor URL | https://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 |