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The Behavioral Firm and Its Internal Game: Evolutionary Dynamics of Decision Making

  • F. de Vries

In this paper the firm is analyzed and modeled as a set of different subcoalitions (agents) each with their own objectives. It examines how the goals can be conflicting and in turn how this influences the payoff structure of the subcoalitions given that they follow 'simple' decision rules, i.e. rules of thumb. This implies that the subcoalitions act in aboundedly rational way. To see how these decision making procedures evolve we make use of an (evolutionary) dynamic game theoretical framework. Consequently, the main aim is to address the issue of modeling the dynamic and adaptive nature of the subcoalitions.

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File URL: http://www.iiasa.ac.at/Publications/Documents/IR-99-036.pdf
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File URL: http://www.iiasa.ac.at/Publications/Documents/IR-99-036.ps
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Paper provided by International Institute for Applied Systems Analysis in its series Working Papers with number ir99036.

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Date of creation: Aug 1999
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Handle: RePEc:wop:iasawp:ir99036
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  1. Debraj Ray & Dilip Mookherjee & Fernando Vega Redondo & Rajeeva L. Karandikar, 1996. "Evolving aspirations and cooperation," Working Papers. Serie AD 1996-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  2. Borgers, Tilman & Sarin, Rajiv, 2000. "Naive Reinforcement Learning with Endogenous Aspirations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(4), pages 921-50, November.
  3. Tilman B�rgers & Rajiv Sarin, . "Learning Through Reinforcement and Replicator Dynamics," ELSE working papers 051, ESRC Centre on Economics Learning and Social Evolution.
  4. A.V. Kryazhimskii & A.M. Tarasyev, 1998. "Equilibrium and Guaranteeing Solutions in Evolutionary Nonzero Sum Games," Working Papers ir98003, International Institute for Applied Systems Analysis.
  5. Bendor, J. & Mookherjee, D. & Ray, D., 1994. "Aspirations, Adaptive Learning and Cooperation in Reapeted Games," Papers 27, Boston University - Department of Economics.
  6. Gilboa, Itzhak & Schmeidler, David, 1996. "Case-Based Optimization," Games and Economic Behavior, Elsevier, vol. 15(1), pages 1-26, July.
  7. A.V. Kryazhimskii & A. Nentjes & S. Shibayev & A.M. Tarasyev, 1998. "Searching Market Equilibria under Uncertain Utilities," Working Papers ir98007, International Institute for Applied Systems Analysis.
  8. Itzhak Gilboa & David Schmeidler, 1993. "Case-Based Consumer Theory," Discussion Papers 1025, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  9. Itzhak Gilboa & David Schmeidler, 1992. "Case-Based Decision Theory," Discussion Papers 994, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  10. Monderer, Dov & Shapley, Lloyd S., 1996. "Potential Games," Games and Economic Behavior, Elsevier, vol. 14(1), pages 124-143, May.
  11. Y.M. Ermoliev & S.D. Flam, 1997. "Learning in Potential Games," Working Papers ir97022, International Institute for Applied Systems Analysis.
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