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Organization, learning and cooperation

  • Barr, Jason
  • Saraceno, Francesco

This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner's Dilemma type game, and must also learn to map environmental signals to demand parameters and to its rival's willingness to cooperate. We study the prospects for cooperation given the need for the firm to learn the environment and its rival's output. We show how profit and cooperation rates are affected by the sizes of both firms, their willingness to cooperate, and by environmental complexity. In addition, we investigate equilibrium firm size and cooperation rates.

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Article provided by Elsevier in its journal Journal of Economic Behavior & Organization.

Volume (Year): 70 (2009)
Issue (Month): 1-2 (May)
Pages: 39-53

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Handle: RePEc:eee:jeborg:v:70:y:2009:i:1-2:p:39-53
Contact details of provider: Web page: http://www.elsevier.com/locate/jebo

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  1. DeCanio, Stephen J. & Watkins, William E., 1998. "Information processing and organizational structure," Journal of Economic Behavior & Organization, Elsevier, vol. 36(3), pages 275-294, August.
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  3. Casson, Mark, 1991. "The Economics of Business Culture: Game Theory, Transaction Costs, and Economic Performance," OUP Catalogue, Oxford University Press, number 9780198283751, March.
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  11. Myong-Hun Chang & Joseph E Harrington Jr, 2004. "Agent-Based Models of Organizations," Economics Working Paper Archive 515, The Johns Hopkins University,Department of Economics.
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  13. Barr, Jason & Saraceno, Francesco, 2005. "Cournot competition, organization and learning," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 277-295, January.
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  16. Rubinstein, Ariel, 1986. "Finite automata play the repeated prisoner's dilemma," Journal of Economic Theory, Elsevier, vol. 39(1), pages 83-96, June.
  17. Verboven, Frank, 1997. "Collusive behavior with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 33(1), pages 121-136, May.
  18. Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  19. Ho, Teck-Hua, 1996. "Finite automata play repeated prisoner's dilemma with information processing costs," Journal of Economic Dynamics and Control, Elsevier, vol. 20(1-3), pages 173-207.
  20. Miller, John H., 1996. "The coevolution of automata in the repeated Prisoner's Dilemma," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 87-112, January.
  21. Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
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