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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

With this important book by North and Macal, we go directly to the application side of agent-based simulation (finally, we can add as a positive comment).

Real-life applications of agent-based simulation technique are still unusual, for a number of reasons, the first of which being resistance to innovation also in social and business research fields. Most of all, however, their slow application is a consequence of the difficulty encountered when implementing agent-based simulation techniques for real-life applications. With my students I have created agent-based model of firms and public services such as an emergency call structure, but I am always far from reaching a critical mass of demonstrative works. At present I am enthusiastically working with the Italian Central Bank in a critical application of agent-based simulation to create a replica (in some way, a “playstation”) of the daily intra-banks payment system combined with a double-action continuous intra-banks money market, to...

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.

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Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

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

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