Advertisement

Gallery for Evolutionary Computation and Artificial Intelligence Researches: Where Do We Come from and Where Shall We Go

  • Takao Terano
Chapter
Part of the Agent-Based Social Systems book series (ABSS, volume 12)

Abstract

D’où venons-nous? Que sommes-nous? Où allons-nous? (Where do we come from? What are we? Where are we going?) is the title of a famous painting by Paul Gauguin created in his Tahiti days. The title raises very important but hard questions of our life. Contrary to the heavy questions, I started GEAR research group in 1990 in a very easy way, when he moved from a computer system engineer to a professor of Graduate School of Systems Management at Tsukuba University. Since then, as described in this book in total, we are concerning on the research and development for evolutionary computation and artificial intelligence researches. The name GEAR comes from the acronym. This short paper describes the history of experimental methods in social and management sciences referring to our experience and discusses the importance of agent-based approaches as interdisciplinary and integrated fields on complex systems. Yes, I and my colleagues are also facing with very heavy questions: Can we or should we simulate them? Where are agent-based approaches going? The paper concludes with the statements on where shall we go in the complex world in the near future.

Keywords

Evolutionary computation Artificial intelligence Agent-based approaches Management science 

References

  1. Axelrod R (1997) The complexity of cooperation: agent-based models of competition and collaboration. Princeton University Press, PrincetonGoogle Scholar
  2. Axelrod R, Cohen MD (2000) Harnessing complexity. Free Press, RiversideGoogle Scholar
  3. Cohen MD, March JG, Olsen JP (1972) A garbage can model of organizational choice. Adm Sci Q 17(1):1–25CrossRefGoogle Scholar
  4. Cyert RM, March JG (1963) A behavioral theory of the firm. Prentice-Hall, PrincetonGoogle Scholar
  5. Epstein JM (2006) Generative social science: study in agent-based computational modeling. Princeton Univerity Press, Princeton.Google Scholar
  6. GEAR (2018) Website: http://www.trn.dis.titech.ac.jp
  7. Hamano S (2008) Architectures. NTT Pub (in Japanese)Google Scholar
  8. Lessig L (2006) Code: and other laws of cyberspace, version 2.0. Basic Books, New YorkGoogle Scholar
  9. Segell M (2005) The devil’s horn: the history of the saxophone, from noisy novelty to king of cool. Picador, New YorkGoogle Scholar
  10. Terano T (2007) KAIZEN for agent-based modeling. In: Takahashi S, Sallach D, Rouchier J (eds) Advancing social simulation – the first congress. Springer, Tokyo/London, pp 1–6Google Scholar
  11. Yang C, Kurahashi S, Ono I, Terano T (2012) Pattern-oriented inverse simulation for analyzing social problems: family strategies in civil service examination in imperial China. Adv Complex Syst 15:1250038CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Chiba University of CommerceIchikawa-shiJapan

Personalised recommendations