Coevolutionary dynamics and agent-based models in organization science

  • Authors:

  • Brian F. Tivnan

  • Affiliations:

  • George Washington University, Ashburn, VA

  • Venue:
  • WSC '05 Proceedings of the 37th conference on Winter simulation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper provides empirical and theoretical support for the application of coevolutionary dynamics and agent-based models in organization science. The support stems from the following logical progression: (a) organization science theorists have explored, and in many instances, acknowledged the applicability of complexity theory to organization science research; (b) much of the acceptance for complexity science applications follows from the conceptualization of an organization as a Complex Adaptive System (CAS); (c) complexity science offers a robust explanation of order in natural and social systems; (d) coevolutionary dynamics provide the mechanisms with the highest explanatory power for describing order-creation in social systems. This paper provides an overview of the literature for each element of the preceding logical progression and concludes with a discussion of the applications of agent-based models to instantiate coevolutionary dynamics.