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Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks

Andreas Pyka (), Nigel Gilbert and Petra Ahrweiler
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Nigel Gilbert: School of Human Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom
Petra Ahrweiler: Research Center Media and Politics, Institute for Political Science, University of Hamburg, Germany

No 287, Discussion Paper Series from Universitaet Augsburg, Institute for Economics

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 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.

Keywords: innovation networks; agent-based modelling; scale free networks (search for similar items in EconPapers)
JEL-codes: L22 O31 O32 (search for similar items in EconPapers)
Pages: pages
Date: 2006-08
New Economics Papers: this item is included in nep-cbe, nep-cmp, nep-cse, nep-ent, nep-ict, nep-ino, nep-mic, nep-net and nep-soc
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