This paper discusses the importance of continuous activities for improvement to promote the concepts of agent-based modeling of the social simulation to the other scientific communities. Because such a continuous process is similar to the one in manufacturing systems as KAIZEN activities, I utilize the concepts of KAIZEN to describe the prescriptions for Agent-Based Modeling (ABM) from the viewpoints of research processes, academic people, and problem solving methods of ABM.


Real World Phenomenon Social Simulation Toyota Production System Artificial Society Killer Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    G. Alukal, and A. Manos: Lean Kaizen-A Simplified Approach to Process Improvements. ASQ Quality Press, 2006.Google Scholar
  2. [2]
    J. K. Liker: The Toyota Way: 14 Management Principles from the World’s Greatest Manufacturer. McGraw-Hill, 2003.Google Scholar
  3. [3]
    Y. Monden: Toyota Production System: An Integrated Approach to Just-in-Time, 3rd Edition0. Institute of Industrial Engineers, 1998.Google Scholar
  4. [4]
    R. M. Cyert, and J. G. March: A Behavioral Theory of the Firm. Prentice-Hall, 1963.Google Scholar
  5. [5]
    Nigel Gilbert, Jim Doran (eds.): Simulating Societies: The Computer Simulation of Social Phenomena. University College of London Press, 1994.Google Scholar
  6. [6]
    M. Masuch, and M. Warglien, (eds.):Artificial Intelligence in Organization and Management Theory. North-Holland, 1992.Google Scholar
  7. [7]
    K. M. Carley, and J. Prietula, (eds.): Computational Organization Theory. Lawrence-Erlbaum, 1994.Google Scholar
  8. [8]
    H. Takagi, et al.: Human and Society in Multi-Media Era — Poly-Agent Society — (In Japanese). Nikka Giren Pub., 1995.Google Scholar
  9. [9]
    T. Terano, H. Deguchi, and K. Takadama (eds.): Meeting the Challenge of Social Problems via Agent-Based Simulation. Springer, 2003.Google Scholar
  10. [10]
    T. Terano, H. Kita, T. Kaneda, K. Arai, and H. Deguchi (eds.): Agent-Based Simulation-From Modeling Methodologies to Real-World Applications. Springer 2005.Google Scholar
  11. [11]
    M. Richiardi, R. Leombruni, N. Saam, and M. Sonnessa: A Common Protocol for Agent-Based Social Simulation. Journal of Artificial Societies and Social Simulation, vol. 9, no. 1, 2006 http://jasss.soc.surrey.ac.uk/ 9/l/15.html URL.Google Scholar
  12. [12]
    M. A. Janssen: Towards a Community Framework for Agent-Based Modelling. Proc. Third International Model-to-Model Workshop (M2M 2007), pp. 68–80, 2007.Google Scholar
  13. [13]
    R. Axelrod: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, 1997.Google Scholar
  14. [14]
    R. Axelrod, and M. D. Cohen: Harnessing Complexity — Organizational Implications of a Scientific Frontier. Free Press, 1999.Google Scholar
  15. [15]
    R. Axtell: Why Agents: On the Varies Motivations for Agent Computing in the Social Sciences. CSED Working Paper No. 17, Brookings Institution, 2000.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Takao Terano
    • 1
  1. 1.Department of Computational Intelligence and Systems ScienceTokyo Institute of TechnologyYokohamaJapan

Personalised recommendations