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Technological Innovation of High-tech Industry and patent policy -Agent based Simulation with Double Loop Learning-

  • Hao Lee
  • Hiroshi Deguchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2132)

Abstract

In this paper, we formulate a multi-agent model of virtual high-tech industry by agent-based simulation. We introduce a classifier system as a decision-making tool of agent who makes its decision depending on the rules in the classifier system. Firm agent determines how much R&D investment and product investment it will spend. We assumed three different types of firm agents in our virtual societies, in which each different agent has a different goal. Agents of different types have different evaluation functions; also agents may change their goals (evaluation functions) when they have survival problem in industry. We verify the Schumpeter Hypothesis and effect of industrial policies in our virtual high-tech industry. We found that the difference in speed at which technology increases, when comparing imitation and innovation, affects the effectiveness of patent policy.

Keywords

Technological Innovation Classifier System Profit Maximization Technological Level Action Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Robert Alexrod, The Complexity of Cooperation, Agent-Based Models of Competition and Collaboration, Princeton University Press. 1997Google Scholar
  2. 2.
    Esben Sloth Andersen, Evolutionary Economics, Post-Schumpeterian Contributions. A Cassel Imprint. 1996.Google Scholar
  3. 3.
    W.Brian Arthur. Increasing Returns and Path Dependence in the Economy. The University of Michigan Press. 1994Google Scholar
  4. 4.
    W. Brian Arthus, Steven N. Durlauf, David A. Lane. The Economy as an Evolving Complex System II. Addison-Wesley 1997Google Scholar
  5. 5.
    Kathleen M. Carley, Michael J. Prietula. Computational Organization Theory. Lawrence Erlbaum Associates, Publishers.Google Scholar
  6. 6.
    M.D. Cohen and L.S. Sproull. Organizational Learning, SAGE Publications, 1995.Google Scholar
  7. 7.
    Hiroshi Deguchi, Agent Based Approach for Social Complex Systems-Management of Constructed Social World In Toru Ishida(Ed), Community Computing and Support Systems LNCS 1519, Springer, p. 62–77, 1998.CrossRefGoogle Scholar
  8. 8.
    Richard J. Gaylord, Louis J. D’Andria. Simulation Society: A Mathematica Toolkit for Modeling Socioeconomic Behavior. Springer-Verlag, 1998.Google Scholar
  9. 9.
    Hao Lee, Hiroshi Deguchi, Technological Innovation of High-tech industry, JASMIN2000 Spring, 2000. (In Japanese)Google Scholar
  10. 10.
    Hao, Lee, H. Deguchi, Technological Innovation of High-tech industry-Agent based Simulation with Double Loop Learning-, KSS’2000 JAIST, p. 224–229Google Scholar
  11. 11.
    Melanie Mitchell. An Introduction to Genetic Algorithms. Massachusetts Institute of Technology. 1996.Google Scholar
  12. 12.
    Nelson, Richard R &Sidney G. Winter. An evolutionary theory of economic change. Harvard University Press, 1996.Google Scholar
  13. 13.
    F.M. Scherer, David Ross, Industrial market structure and economic performance. Houghton Mifflin, 1990.Google Scholar
  14. 14.
    Schumpeter J. Capitalism, Socialism, and Democracy. Harper and Row, New York. 1942Google Scholar
  15. 15.
    Takadama, T. Terano, K. Hori, andS. Nakasuka, “Making Organizational Learning Operational: Implication from Learning Classifier System”, Cimputational and Mathematical Organization Theory(CMOT), Kluwer Academic Publichers, Vol. 5, No. 3pp. 229–252. 1999.zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Hao Lee
    • 1
  • Hiroshi Deguchi
    • 2
  1. 1.Graduate School of EconomicsKyoto UniversityKyoto-cityJapan
  2. 2.Graduate School of EconomicsKyoto UniversityKyoto-cityJapan

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