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Organization, Learning and Cooperation

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  • Jason Barr

    (Rutgers University, Newark)

  • Francesco Saraceno

    (Observatoire Francais des Conjectures Economomiques)

Abstract

We model the organization of the firm as a type of artificial neural network in a duopoly framework. The firm plays a repeated Prisoner's Dilemma type game, but also must learn to map environmental signals to demand parameters. We study the prospects for cooperation given the need for the firm to learn the environment and its rival's output. We show how a firm's profit and cooperation rates are affected by its size, its rival's size and willingness to cooperate and environmental complexity.

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File URL: http://128.118.178.162/eps/comp/papers/0402/0402001.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Computational Economics with number 0402001.

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Length: 31 pages
Date of creation: 02 Feb 2004
Date of revision:
Handle: RePEc:wpa:wuwpco:0402001

Note: Type of Document - ; pages: 31
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Web page: http://128.118.178.162

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Keywords: Artificial Neural Networks; Cooperation; Firm Learning;

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References

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  1. Joseph Henrich, 2001. "In Search of Homo Economicus: Behavioral Experiments in 15 Small-Scale Societies," American Economic Review, American Economic Association, vol. 91(2), pages 73-78, May.
  2. Green, Edward J & Porter, Robert H, 1984. "Noncooperative Collusion under Imperfect Price Information," Econometrica, Econometric Society, vol. 52(1), pages 87-100, January.
  3. Rubinstein, Ariel, 1986. "Finite automata play the repeated prisoner's dilemma," Journal of Economic Theory, Elsevier, vol. 39(1), pages 83-96, June.
  4. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
  5. Radner, Roy, 1993. "The Organization of Decentralized Information Processing," Econometrica, Econometric Society, vol. 61(5), pages 1109-46, September.
  6. Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  7. 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.
  8. 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.
  9. 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.
  10. Drew Fudenberg & Jean Tirole, 1991. "Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061414, December.
  11. 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.
  12. Cyert, Richard M & DeGroot, Morris H, 1973. "An Analysis of Cooperation and Learning in a Duopoly Context," American Economic Review, American Economic Association, vol. 63(1), pages 24-37, March.
  13. Verboven, Frank, 1997. "Collusive behavior with heterogeneous firms," Journal of Economic Behavior & Organization, Elsevier, vol. 33(1), pages 121-136, May.
  14. 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.
  15. Barr, Jason & Saraceno, Francesco, 2002. "A computational theory of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 345-361, November.
  16. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers 5075, Iowa State University, Department of Economics.
  17. Casson, Mark, 1991. "The Economics of Business Culture: Game Theory, Transaction Costs, and Economic Performance," OUP Catalogue, Oxford University Press, number 9780198283751, September.
  18. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, December.
  19. Carley, Kathleen M., 1996. "A comparison of artificial and human organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 175-191, November.
  20. 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.
  21. Cho, In-Koo, 1994. "Bounded Rationality, Neural Network and Folk Theorem in Repeated Games with Discounting," Economic Theory, Springer, vol. 4(6), pages 935-57, October.
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Citations

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Cited by:
  1. Jason Barr & Francesco Saraceno, 2005. "Cournot Competition and Endogenous Firm Size," Sciences Po publications 2005-001, Sciences Po.
  2. Eva Bolfikova & Daniela Hrehova & Jana Frenova, 2010. "Manager’s decision-making in organizations empirical analysis of bureaucratic vs. learning approach," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics, vol. 28(1), pages 135-163.
  3. Jason Barr & Francesco Saraceno, 2005. "Modeling the Firm as an Artificial Neural Network," Working Papers Rutgers University, Newark 2005-011, Department of Economics, Rutgers University, Newark.

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