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Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach

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Intelligent Data Engineering and Automated Learning - IDEAL 2007 (IDEAL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4881))

Abstract

The importance of modularity in product innovation is analyzed in this paper. Through simulations with an agent-based modular economic model, we examine the significance of the use of a modular structure in new product designs in terms of its impacts upon customer satisfaction and firms’ competitiveness. To achieve the above purpose, the automatically defined terminal is proposed and is used to modify the simple genetic programming.

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References

  1. Chen, S.-H., Chie, B.-T.: Agent-Based Economic Modeling of the Evolution of Technology: The Relevance of Functional Modularity and Genetic Programming. International Journal of Modern Physics B 18, 17–19, 2376–2386 (2004)

    Google Scholar 

  2. Chen, S.-H., Chie, B.-T.: 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: Essays in Agent-Based Economics and Econophysics. Lecture Notes in Economics and Mathematical Systems, vol. 567, pp. 165–178. Springer, Heidelberg (2005)

    Google Scholar 

  3. Koza, J.R.: Genetic Programming: On the Programming of Computers by the Means of Natural Selection. The MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  4. Koza, J.R.: Genetic Programming II–Automatic Discovery of Reusable Programs. MIT Press, Cambridge (1994)

    MATH  Google Scholar 

  5. Simon, H.A.: The Architecture of Complexity. General systems 10, 63–76 (1965)

    Google Scholar 

  6. Angeline, P., Pollack, J.: Evolutionary Module Acquisition. In: Proceedings of the 2nd Annual Conference on Evolutionary Programming, pp. 154–163. MIT Press, Cambridge (1993)

    Google Scholar 

  7. Hoang, T.-H., Daryl, E., McKay, R., Nguyen, X.H.: Developmental Evaluation in Genetic Programming: The TAG-Based Framework. forthcoming in Knowledge Engineering Review (2007)

    Google Scholar 

  8. Rosca, J., Ballard, D.: Hierarchical Self-Organizaion in Genetic Programming. In: Rouveirol, C., Sebag, M. (eds.) Proceedings of the Eleventh International Conference on Machine Learning, Morgan Kaufmann, San Francisco (1994)

    Google Scholar 

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Hujun Yin Peter Tino Emilio Corchado Will Byrne Xin Yao

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© 2007 Springer-Verlag Berlin Heidelberg

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Chen, SH., Chie, BT. (2007). Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77226-2_105

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  • DOI: https://doi.org/10.1007/978-3-540-77226-2_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77225-5

  • Online ISBN: 978-3-540-77226-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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