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A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology

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Book cover The Complex Networks of Economic Interactions

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 567))

Summary

No matter how commonly the term innovation has been used in economics, a concrete analytical or computational model of innovation is not yet available. This paper argues that a breakthrough can be made with genetic programming, and proposes a functional-modularity approach to an agent-based computational economic model of innovation.

NSC research grant No. 92-2415-H-004-005 is gratefully acknowledged.

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Author information

Authors and Affiliations

  1. AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, 116, Taiwan

    Shu-Heng Chen & Bin-Tzong Chie

Authors
  1. Shu-Heng Chen
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  2. Bin-Tzong Chie
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Editor information

Editors and Affiliations

  1. Department of Computer Science, National Defense Academy, 1-10-20, Hashirimizu, Yokosuka, 239-8686, Japan

    Akira Namatame

  2. Division of Social Sciences, International Christian University (ICU), Osawa, Mitaka, Tokyo, 181-8585, Japan

    Taisei Kaizouji

  3. Department of Commerce, Chuo University, 3-11, Tama, Tokyo, 180-8585, Japan

    Yuuji Aruka

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, SH., Chie, BT. (2006). A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology. In: Namatame, A., Kaizouji, T., Aruka, Y. (eds) The Complex Networks of Economic Interactions. Lecture Notes in Economics and Mathematical Systems, vol 567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28727-2_11

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