Technological Innovation of High-Tech Industry ad Patent Policy: Agent Based simulation with Double Loop Learning

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 RD 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.

[1]  R. Axelrod,et al.  The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration , 1998 .

[2]  Melanie Mitchell,et al.  An introduction to genetic algorithms , 1996 .

[3]  R. Axelrod.  Reviews book & software , 2022 .

[4]  Toru Ishida,et al.  Community Computing and Support Systems-Social Interaction in Networked Communities , 1998 .

[5]  Hiroshi Deguchi,et al.  Agent Based Approach for Social Complex Systems - Management of Constructed Social World , 1998, Community Computing and Support Systems.

[6]  Richard J. Gaylord,et al.  Simulating Society: A Mathematica®Toolkit For Modeling Socioeconomic Behavior , 1998 .

[7]  J. Schumpeter.  Capitalism, Socialism and Democracy , 1943 .

[8]  W. Arthur,et al.  The Economy as an Evolving Complex System II , 1988 .

[9]  S. Winter,et al.  An Evolutionary Theory of Economic Change.by Richard R. Nelson; Sidney G. Winter , 1987 .

[10]  Toru Ishida,et al.  Community Computing and Support Systems , 1999, Lecture Notes in Computer Science.

[11]  W. Arthur,et al.  Increasing Returns and Path Dependence in the Economy , 1996 .

[12]  F. Scherer,et al.  Industrial Market Structure and Economic Performance. , 1971 .

[13]  Michael J. Prietula,et al.  Computational organization theory , 1994 .

[14]  E. Andersen.  Evolutionary Economics: Post-Schumpeterian Contributions , 1994 .

[15]  Takao Terano,et al.  Making Organizational Learning Operational: Implications from Learning Classifier Systems , 1999, Comput. Math. Organ. Theory.