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

In: The Complex Networks of Economic Interactions

Author

Listed:
  • Shu-Heng Chen

    (National Chengchi University)

  • Bin-Tzong Chie

    (National Chengchi University)

Abstract

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.

Suggested Citation

  • Shu-Heng Chen & Bin-Tzong Chie, 2006. "A Functional Modularity Approach to Agent-based Modeling of the Evolution of Technology," Lecture Notes in Economics and Mathematical Systems, in: Akira Namatame & Taisei Kaizouji & Yuuji Aruka (ed.), The Complex Networks of Economic Interactions, pages 165-178, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-28727-8_11
    DOI: 10.1007/3-540-28727-2_11
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    Citations

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    Cited by:

    1. Bin-Tzong Chie & Shu-Heng Chen, 2014. "Non-Price Competition in a Modular Economy," ASSRU Discussion Papers 1401, ASSRU - Algorithmic Social Science Research Unit.
    2. Bin-Tzong Chie & Shu-Heng Chen, 2014. "Competition in a New Industrial Economy: Toward an Agent-Based Economic Model of Modularity," Administrative Sciences, MDPI, vol. 4(3), pages 1-27, July.
    3. Ben Vermeulen & Andreas Pyka, 2018. "The Role of Network Topology and the Spatial Distribution and Structure of Knowledge in Regional Innovation Policy: A Calibrated Agent-Based Model Study," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 773-808, October.

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