Advertisement

Journal of Management & Governance

, Volume 12, Issue 2, pp 233–238 | Cite as

Agent-based simulation model to improve managerial capabilities, in a complexity perspective

M. J. North and C. M. Macal, Managing Business Complexity: Discovering Strategic Solutions with Agent-based Modeling and Simulation. Oxford University Press, Oxford and New York, 2007, 313 pp; M. Villani (ed.): Educating Managers in Complexity. Aracne, Roma, 2006, 364 pp
  • Pietro Terna
Reviews and Overviews

Keywords

Reinforcement Learning Agent Behavior Actual People Important Practical Problem Participatory Simulation 
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.

References

  1. Anderson, P. W. (1972). More is different. Science, 177(4047), 393–396.CrossRefGoogle Scholar
  2. Bainbridge, W. S. (2007). The scientific research potential of virtual worlds. Science, 317, 472–476.CrossRefGoogle Scholar
  3. Cohen, M. D. (2008). Learning with regret. Science, 319(5866), 1052–1053.CrossRefGoogle Scholar
  4. Gilbert, N., & Terna, P. (2000). How to build and use agent-based models in social science. Mind & Society, 1(1), 57–72.CrossRefGoogle Scholar
  5. Marchiori, D., & Warglien, M. (2008). Predicting human interactive learning by regret driven neural networks. Science, 319(5866), 1111–1113.CrossRefGoogle Scholar
  6. Simon, H. A. (1971). Designing organizations for an information-rich world. In M. Greenberger (Ed.), Computers, communication, and the public interest. Baltimore: The Johns Hopkins Press.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  1. 1.Dipartimento di Scienze economiche e finanziarieUniversità di TorinoTorinoItaly

Personalised recommendations