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

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Author Info
Andreas Pyka (University of Augsburg, Department of Economics)
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)

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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.

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Publisher Info
Paper provided by Universitaet Augsburg, Institute for Economics in its series Discussion Paper Series with number 287.

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Length: pages
Date of creation: Aug 2006
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Handle: RePEc:aug:augsbe:0287

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Related research
Keywords: innovation networks; agent-based modelling; scale free networks;

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Find related papers by JEL classification:
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
O32 - Economic Development, Technological Change, and Growth - - Technological Change - - - Management of Technological Innovation and R&D
L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. d'Aspremont, Claude & Jacquemin, Alexis, 1988. "Cooperative and Noncooperative R&D in Duopoly with Spillovers," American Economic Review, American Economic Association, vol. 78(5), pages 1133-37, December. [Downloadable!] (restricted)
  2. Nigel Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, Sociological Research Online, vol. 2. [Downloadable!]
  3. Horst Hanusch & Andreas Pyka, 2005. "Principles of Neo-Schumpeterian Economics," Discussion Paper Series 278, Universitaet Augsburg, Institute for Economics. [Downloadable!]
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  4. Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press, vol. 7(2), pages 369-97, June.
  5. Windrum,Paul, 2004. "Neo-Schumpeterian Simulation Models," Research Memoranda 002, Maastricht : MERIT, Maastricht Economic Research Institute on Innovation and Technology. [Downloadable!]
  6. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September. [Downloadable!] (restricted)
  7. Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating knowledge dynamics in innovation networks (SKIN)," Discussion Paper Series 267, Universitaet Augsburg, Institute for Economics. [Downloadable!]
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This page was last updated on 2009-11-8.

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