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

  • 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)

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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File URL: http://www.wiwi.uni-augsburg.de/vwl/institut/paper/287.pdf
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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
Date of revision:
Handle: RePEc:aug:augsbe:0287
Contact details of provider: Postal: Universitaetsstrasse 16, D-86159 Augsburg, Germany
Phone: +49 821 598 4060
Fax: +49 821 598 4217
Web page: http://www.wiwi.uni-augsburg.de/vwl/institut
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  1. Amable, Bruno, 2003. "The Diversity of Modern Capitalism," OUP Catalogue, Oxford University Press, number 9780199261147, March.
  2. Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating knowledge dynamics in innovation networks (SKIN)," Discussion Paper Series 267, Universitaet Augsburg, Institute for Economics.
  3. 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.
  4. Horst Hanusch & Andreas Pyka, 2007. "Principles of Neo-Schumpeterian Economics," Cambridge Journal of Economics, Oxford University Press, vol. 31(2), pages 275-289, March.
  5. d'ASPREMONT, Claude & JACQUEMIN, Alexis, . "Cooperative and noncooperative R&D in duopoly with spillovers," CORE Discussion Papers RP -823, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. Nigel Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, Sociological Research Online, vol. 2(2), pages 3.
  7. 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.
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