IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2001-27-2.html
   My bibliography  Save this article

A Multi-Agent Simulation Platform for Modeling Perfectly Rational and Bounded-Rational Agents in a Firm

Author

Listed:

Abstract

This paper presents an agent-based simulation framework for the analysis of the equilibria emergence in a complex structure such as an organization; we can think of some of these equilibria as corporate culture. We concentrate on modeling the effort exerted by heterogeneous agents in an organization, and how the interaction between them may lead to a common level of effort (corporate culture). The simple model we propose is a system in which agents interact in a dynamic, adaptive and evolving way. Such a model encompasses many of the peculiarities which make organization modeling a hard task, because it would involve a difficult mathematical problem with solution highly sensitive to parameters. The computational approach, by contrast, allows to overcome some of these difficulties and to consider easily both perfectly rational and bounded-rational agents; this way we are able to study the interactions between different types of agents and interpret them in the relevant economic frame. Consequently we can observe how different compositions of the population may lead the system to different common behaviors; the implications of our findings are both descriptive and normative, and shed light on some core problems of the economics of organization design.

Suggested Citation

  • Arianna Dal Forno & Ugo Merlone, 2002. "A Multi-Agent Simulation Platform for Modeling Perfectly Rational and Bounded-Rational Agents in a Firm," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(2), pages 1-3.
  • Handle: RePEc:jas:jasssj:2001-27-2
    as

    Download full text from publisher

    File URL: http://jasss.soc.surrey.ac.uk/5/2/3.html
    Download Restriction: no

    References listed on IDEAS

    as
    1. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 137-156.
    2. Andreas Flache & Rainer Hegselmann, 1998. "Understanding Complex Social Dynamics: a Plea for Cellular Automata Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(3), pages 1-1.
    3. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    4. Kenneth J. Arrow, 1962. "The Economic Implications of Learning by Doing," Review of Economic Studies, Oxford University Press, vol. 29(3), pages 155-173.
    5. Granovetter, Mark & Soong, Roland, 1986. "Threshold models of interpersonal effects in consumer demand," Journal of Economic Behavior & Organization, Elsevier, vol. 7(1), pages 83-99, March.
    6. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, pages 332-337.
    7. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    8. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 797-817.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Davide Secchi & Nicole L. Gullekson, 2016. "Individual and organizational conditions for the emergence and evolution of bandwagons," Computational and Mathematical Organization Theory, Springer, pages 88-133.
    2. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2014. "Spatial interactions in agent-based modeling," Papers 1405.0733, arXiv.org.
    3. Mehmet GENÇER & Bülent ÖZEL, "undated". "Agent-Based Modeling of Economic Systems: The EURACE Project Experience," EcoMod2010 259600063, EcoMod.
    4. Marta Posada & Celia Martín-Sierra & Elena Perez, 2017. "Effort, Satisfaction and Outcomes in Organisations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, pages 1-9.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2001-27-2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Flaminio Squazzoni). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.