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Innovation Networks - a Simulation Approach

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Abstract

A multi-agent simulation embodying a theory of innovation networks has been built and used to suggest a number of policy-relevant conclusions. The simulation animates a model of innovation (the successful exploitation of new ideas) and this model is briefly described. Agents in the model representing firms, policy actors, research labs, etc. each have a knowledge base that they use to generate \'artefacts\' that they hope will be innovations. The success of the artefacts is judged by an oracle that evaluates each artefact using a criterion that is not available to the agents. Agents are able to follow strategies to improve their artefacts either on their own (through incremental improvement or by radical changes), or by seeking partners to contribute additional knowledge. It is shown though experiments with the model's parameters that it is possible to reproduce qualitatively the characteristics of innovation networks in two sectors: personal and mobile communications and biotechnology.

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Bibliographic Info

Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 4 (2001)
Issue (Month): 3 ()
Pages: 8

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Handle: RePEc:jas:jasssj:2000-25-1

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Keywords: Innovation; Simulation of Social Networks; Mobile Communications; Biotechnology; Kene;

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Cited by:
  1. Klaus Wersching, 2007. "Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers," Journal of Economic Interaction and Coordination, Springer, vol. 2(1), pages 1-25, June.
  2. Zirulia,Lorenzo, 2004. "The evolution of R&D networks," Research Memorandum 007, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  3. Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  4. Dan Farhat, 2013. "An Agent-based Model of Interdisciplinary Science and the Evolution of Scientific Research Networks," Working Papers 1302, University of Otago, Department of Economics, revised Jan 2013.
  5. 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.
  6. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, EconWPA.
  7. Jackie Krafft & Francesco Quatraro & Pier-Paolo Saviotti, 2013. "The dynamics of knowledge-intensive sectors' knowledge base: Evidence from Biotechnology and Telecommunications," Working Papers hal-00991397, HAL.
  8. Widad Guechtouli, 2014. "Agent-based modeling of knowledge transfer within social networks," Working Papers 2014-148, Department of Research, Ipag Business School.
  9. Borrill, Paul L. & Tesfatsion, Leigh, 2010. "Agent-Based Modeling: The Right Mathematics for the Social Sciences?," Staff General Research Papers 31674, Iowa State University, Department of Economics.
  10. Vermeulen, Ben & Pyka, A. & La Poutré, J. A. & de Kok, A. G., 2013. "Capability-based governance patterns over the product life-cycle," FZID Discussion Papers 71-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
  11. Heshmati, Almas & Lenz-Cesar, Flávio, 2014. "Policy Simulation of Firms Cooperation in Innovation," Working Paper Series in Economics and Institutions of Innovation 357, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  12. T. Buchmann & D. Hain & Muhamed Kudic & M. Müller, 2014. "Exploring the Evolution of Innovation Networks in Science-driven and Scale-intensive Industries: New Evidence from a Stochastic Actor-based Approach," IWH Discussion Papers 1, Halle Institute for Economic Research.
  13. Karolina Safarzyńska & Jeroen Bergh, 2010. "Evolutionary models in economics: a survey of methods and building blocks," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 329-373, June.
  14. Ma, Tieju & Nakamori, Yoshiteru, 2005. "Agent-based modeling on technological innovation as an evolutionary process," European Journal of Operational Research, Elsevier, vol. 166(3), pages 741-755, November.
  15. Kaufmann, Peter & Stagl, Sigrid & Franks, Daniel W., 2009. "Simulating the diffusion of organic farming practices in two New EU Member States," Ecological Economics, Elsevier, vol. 68(10), pages 2580-2593, August.
  16. Blom, Martin & Castellacci, Fulvio & Fevolden, Arne, 2012. "Defence firms facing liberalization: innovation and export in an agent-based model of the defence industry," MPRA Paper 35702, University Library of Munich, Germany.
  17. Mayntz, Renate, 2005. "Forschungsmethoden und Erkenntnispotential Natur- und Sozialwissenschaften im Vergleich," MPIfG Discussion Paper 05/7, Max Planck Institute for the Study of Societies.
  18. Lyndon Walker & Peter Davis, 2013. "Modelling \"Marriage Markets\": A Population-Scale Implementation and Parameter Test," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(1), pages 6.
  19. Rossi, Federica, 2002. "An introductory overview of innovation studies," MPRA Paper 9106, University Library of Munich, Germany, revised Jun 2008.

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