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Agent-Based Models of Organizations

In: Handbook of Computational Economics

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Author Info
Chang, Myong-Hun
Harrington, Joseph Jr.

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Abstract

The agent-based approach views an organization as a collection of agents, interacting with one another in their pursuit of assigned tasks. The performance of an organization in this framework is determined by the formal and informal structures of interactions among agents, which define the lines of communication, allocation of information processing tasks, distribution of decision-making authorities, and the provision of incentives. This chapter provides a synthesis of various agent-based models of organizations and surveys some of the new insights that are being delivered. The ultimate goal is to introduce the agent-based approach to economists in a methodological manner and provide a broader and less idiosyncratic perspective to those who are already engaging in this line of work. The chapter is organized around the set of research questions that are common to this literature: (1) What are the determinants of organizational behavior and performance? (2) How does organizational structure influence performance? (3) How do the skills and traits of agents matter and how do they interact with structure? (4) How do the characteristics of the environment--including its stability, complexity, and competitiveness--influence the appropriate allocation of authority and information? (5) How is the behavior and performance influenced when an organization is coevolving with other organizations from which it can learn? (6) Can an organization evolve its way to a better structure?

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This chapter was published in: Leigh Tesfatsion & Kenneth L. Judd (ed.) Handbook of Computational Economics, , chapter 26, pages 1273-1337, 2006.

This item is provided by Elsevier in its series Handbook of Computational Economics with number 2-26.

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This chapter was published in the following book, which is listed on IDEAS:
Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2, September. [Downloadable!] (restricted)
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Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

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  2. Maskin, Eric & Qian, Yingyi & Xu, Chenggang, 2000. "Incentives, Information, and Organizational Form," Review of Economic Studies, Blackwell Publishing, vol. 67(2), pages 359-78, April.
    Other versions:
  3. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-95, December. [Downloadable!] (restricted)
    Other versions:
  4. Levinthal, Daniel & March, James G., 1981. "A model of adaptive organizational search," Journal of Economic Behavior & Organization, Elsevier, vol. 2(4), pages 307-333, December. [Downloadable!] (restricted)
  5. Aghion, Philippe & Tirole, Jean, 1997. "Formal and Real Authority in Organizations," Journal of Political Economy, University of Chicago Press, vol. 105(1), pages 1-29, February.
    Other versions:
  6. Myong-Hun Chang & Joseph E Harrington, 2000. "Organization of Innovation in a Multi-Unit Firm: Coordinating Adaptive Search on Multiple Rugged Landscapes," Economics Working Paper Archive 442, The Johns Hopkins University,Department of Economics. [Downloadable!]
  7. Brenner, Thomas, 2006. "Agent Learning Representation: Advice on Modelling Economic Learning," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 18, pages 895-947 Elsevier. [Downloadable!] (restricted)
    Other versions:
  8. Nicolaas J. Vriend, 2005. "ACE Models of Endogenous Interactions," Working Papers 542, Queen Mary, University of London, Department of Economics. [Downloadable!]
    Other versions:
  9. Dow, Gregory K., 1990. "The organization as an adaptive network," Journal of Economic Behavior & Organization, Elsevier, vol. 14(2), pages 159-185, October. [Downloadable!] (restricted)
  10. Page, Scott E, 1996. "Two Measures of Difficulty," Economic Theory, Springer, vol. 8(2), pages 321-46, August.
  11. Holmstrom, Bengt R. & Tirole, Jean, 1989. "The theory of the firm," Handbook of Industrial Organization, in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 2, pages 61-133 Elsevier. [Downloadable!] (restricted)
  12. Joseph E. Harrington & Jr., 1999. "Rigidity of Social Systems," Journal of Political Economy, University of Chicago Press, vol. 107(1), pages 40-64, February. [Downloadable!] (restricted)
  13. 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. [Downloadable!] (restricted)
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  14. 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. [Downloadable!] (restricted)
  15. MacKie-Mason, Jeffrey K. & Wellman, Michael P., 2006. "Automated Markets and Trading Agents," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 28, pages 1381-1431 Elsevier. [Downloadable!] (restricted)
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  17. Harrington, Joseph E, Jr, 1998. "The Social Selection of Flexible and Rigid Agents," American Economic Review, American Economic Association, vol. 88(1), pages 63-82, March. [Downloadable!] (restricted)
  18. Kollman, Ken & Miller, John H & Page, Scott E, 2000. "Decentralization and the Search for Policy Solutions," Journal of Law, Economics and Organization, Oxford University Press, vol. 16(1), pages 102-28, April.
  19. John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA. [Downloadable!]
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  20. Radner, Roy, 1993. "The Organization of Decentralized Information Processing," Econometrica, Econometric Society, vol. 61(5), pages 1109-46, September. [Downloadable!] (restricted)
  21. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March. [Downloadable!] (restricted)
  22. Myong-Hun Chang & Joseph E. Harrington Jr., 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Working Papers 00-02-010, Santa Fe Institute.
    Other versions:
  23. Barr, Jason & Saraceno, Francesco, 2002. "A computational theory of the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 345-361, November. [Downloadable!] (restricted)
  24. Dessein, Wouter, 2002. "Authority and Communication in Organizations," Review of Economic Studies, Blackwell Publishing, vol. 69(4), pages 811-38, October.
  25. Qian, Yingyi, 1994. "Incentives and Loss of Control in an Optimal Hierarchy," Review of Economic Studies, Blackwell Publishing, vol. 61(3), pages 527-44, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Peter Marko & Petr Svarc, 2008. "Firms formation and growth in the model with heterogeneous agents and monitoring," Working Papers IES 2008/31, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2008. [Downloadable!]
  2. Jason Barr & Francesco Saraceno, 2005. "Cournot Competition and Endogenous Firm Size," Working Papers Rutgers University, Newark 2005-001, Department of Economics, Rutgers University, Newark. [Downloadable!]
    Other versions:
  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. [Downloadable!]
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