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This Is How I Feel About Complex Systems

  • Takao TeranoEmail author
Chapter
Part of the Communications in Computer and Information Science book series (CCIS, volume 999)

Abstract

It has been around for nearly 40 years since I joined with the academic world in computer science related areas. Because I prefer to concrete real world topics, I, as a system scientist, usually research and develop challenging cutting-edge applications on complex systems. By complex systems, I do not only mean such areas as complex adaptive systems, chaotic, nor fuzzy systems, but, seemingly complicated systems required to be socially implemented. In this short paper, based on my final lecture at Tokyo Institute of Technology, I would like to present how I feel about complex systems and discuss principles of agent-based modeling, interdisciplinary research, and system creation. The paper concludes some comments on what we must do in the future.

Keywords

Complex systems Agent-based modeling System creation 

References

  1. 1.
    Terano, T.: Gallery for evolutionary computation and artificial intelligence researches: where do we come from and where shall we go. In: Kurahashi, S., et al. (eds.) Innovative Approaches in Agent-Based Modelling and Business Intelligence. Springer Agent-Based Social Science Series, vol. 12. Springer, Heidelberg (2018, to appear)Google Scholar
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    Kahneman, D.: Thinking, Fast and Slow. Penguin Books, London (2011)Google Scholar
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    Complexity Hub Vienna (ed.): 43 Visions in Complexity. World Scientific, New Jersey (2016)Google Scholar
  4. 4.
    Watts, D.: Everything is Obvious: Once You Know the Answer. Atlantic Books, London (2011)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Chiba University of CommerceChibaJapan

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