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Agent-Based Models of Organizations

In: Handbook of Computational Economics

Author

Listed:
  • Chang, Myong-Hun
  • Harrington, Joseph Jr.

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?

Suggested Citation

  • Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.
    • Handle: RePEc:eee:hecchp:2-26
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    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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