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Multi Agent-Based Simulation on Technology Diffusion of China

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Cellular Automata (ACRI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7495))

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Abstract

Technology plays an important role on the regional competitiveness. In this paper, we built a regional technology diffusion model based on MABS considering agents similar to irregular Cellular Automata model. The results show that under the impact of heterogeneous traffic lines, the traditional center-hinterland diffusion mode has been no longer fit. In reality technology diffusion mode complies with a hub-net structure. Traffic condition plays an important role in regional technology improvement. A preferential tax policy can be conductive to the improvement of the local technology level.

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Author information

Authors and Affiliations

  1. Institute of Policy and Management Science, Chinese Academy of Sciences, Beijing, 100080, China

    Gu Gaoxiang, Wang Zheng & Wu Jing

  2. Key Laboratory of Geographical Information Science, Ministry of State Education of China, East China Normal University, Shanghai, 200062, China

    Wang Zheng

Authors
  1. Gu Gaoxiang
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  2. Wang Zheng
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  3. Wu Jing
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Laboratory of Electronics, Democritus University of Thrace, GR 67100, Xanthi, Greece

    Georgios Ch. Sirakoulis

  2. CSAI - Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 20134, Milano, Italy

    Stefania Bandini

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© 2012 Springer-Verlag Berlin Heidelberg

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Gaoxiang, G., Zheng, W., Jing, W. (2012). Multi Agent-Based Simulation on Technology Diffusion of China. In: Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2012. Lecture Notes in Computer Science, vol 7495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33350-7_38

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  • DOI: https://doi.org/10.1007/978-3-642-33350-7_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33349-1

  • Online ISBN: 978-3-642-33350-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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