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.
|Date of creation:||Aug 2006|
|Contact details of provider:|| Postal: Universitaetsstrasse 16, D-86159 Augsburg, Germany|
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- 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 1133-1137, December.
- d'ASPREMONT, Claude & JACQUEMIN, Alexis, "undated". "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).
- Nigel Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, Sociological Research Online, vol. 2(2), pages 1-3.
- Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating Knowledge Dynamics In Innovation Networks (Skin)," World Scientific Book Chapters, in: Industry And Labor Dynamics The Agent-Based Computational Economics Approach, chapter 14, pages 284-296 World Scientific Publishing Co. Pte. Ltd..
- Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating knowledge dynamics in innovation networks (SKIN)," Discussion Paper Series 267, Universitaet Augsburg, Institute for Economics.
- Horst Hanusch & Andreas Pyka, 2007. "Principles of Neo-Schumpeterian Economics," Cambridge Journal of Economics, Oxford University Press, vol. 31(2), pages 275-289, March.
- Horst Hanusch & Andreas Pyka, 2005. "Principles of Neo-Schumpeterian Economics," Discussion Paper Series 278, Universitaet Augsburg, Institute for Economics.
- Cantner, Uwe & Pyka, Andreas, 1998. "Absorbing Technological Spillovers: Simulations in an Evolutionary Framework," Industrial and Corporate Change, Oxford University Press, vol. 7(2), pages 369-397, June.
- 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 569-596, September.
- Amable, Bruno, 2003. "The Diversity of Modern Capitalism," OUP Catalogue, Oxford University Press, number 9780199261147, April. Full references (including those not matched with items on IDEAS)
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