Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/22810 
Year of Publication: 
2006
Series/Report no.: 
Volkswirtschaftliche Diskussionsreihe No. 287
Publisher: 
Universität Augsburg, Institut für Volkswirtschaftslehre, Augsburg
Abstract: 
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 allows 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.
Subjects: 
innovation networks
agent-based modelling
scale free networks
JEL: 
L22
O32
O31
Document Type: 
Working Paper

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