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Simulating knowledge dynamics in innovation networks (SKIN)

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Author Info

  • Petra Ahrweiler

    (Research Center Media and Politics, Institute for Political Science, University of Hamburg, Germany)

  • Andreas Pyka

    (University of Augsburg, Department of Economics)

  • Nigel Gilbert

    (School of Human Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom)

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 interactions between the agents occur on two levels: through a market with firms supplying and consuming goods for a price, and through the exchange of knowledge. A brief description of the implementation of the model and its user interface is given.

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File URL: http://www.wiwi.uni-augsburg.de/vwl/institut/paper/267.pdf
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Bibliographic Info

Paper provided by Universitaet Augsburg, Institute for Economics in its series Discussion Paper Series with number 267.

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Length: pages
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:aug:augsbe:0267

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Postal: Universitaetsstrasse 16, D-86159 Augsburg, Germany
Phone: +49 821 598 4060
Fax: +49 821 598 4217
Email:
Web page: http://www.wiwi.uni-augsburg.de/vwl/institut
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Related research

Keywords: innovation networks; agent-based modelling;

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References

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  1. Nigel Gilbert, 1997. "A Simulation of the Structure of Academic Science," Sociological Research Online, Sociological Research Online, vol. 2(2), pages 3.
  2. 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.
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Citations

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Cited by:
  1. Gilbert, Nigel & Ahrweiler, Petra & Pyka, Andreas, 2007. "Learning in innovation networks: Some simulation experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(1), pages 100-109.
  2. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, EconWPA.
  3. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
  4. Andreas Pyka & Nigel Gilbert & Petra Ahrweiler, 2006. "Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks," Discussion Paper Series 287, Universitaet Augsburg, Institute for Economics.

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