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Related Experiment Videos

Local rules: emergence on organizational landscapes.

Tim Haslett1, Charles Osborne

  • 1Department of Management, Monash University, Victoria, Australia. tim.haslett@buseco.monash.edu.au

Nonlinear Dynamics, Psychology, and Life Sciences
|July 24, 2003
PubMed
Summary

This study explains organizational behavior using local rules theory, linking evolutionary biology to computational organizational theory. It identifies conditions for rule stability or change and suggests agent-based modeling for further development.

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Area of Science:

  • Organizational theory
  • Evolutionary biology
  • Computational mathematics

Background:

  • Local rules theory originates in evolutionary biology.
  • Organizational behavior can be viewed as an emergent property.
  • Existing theories lack a comprehensive model for emergent organizational behavior.

Purpose of the Study:

  • To propose local rules theory as a model for emergent organizational behavior.
  • To link local rules theory to computational organizational theory.
  • To explore conditions influencing the stability and change of organizational rules.

Main Methods:

  • Theoretical framework development linking local rules theory to organizational behavior.
  • Analysis of coadaptation and competition as drivers of rule change.

Related Experiment Videos

  • Discussion of catastrophe analysis for understanding interaction patterns.
  • Outline of agent-based simulation modeling methodologies.

    • Main Results:

    • Local rules theory provides a framework for understanding organizational behavior as an emergent property.
    • Coadaptation promotes stable local rules, while competition drives rule change.
    • Catastrophe analysis offers insights into dynamic organizational interactions.
    • Agent-based simulation modeling is a viable method for advancing local rules theory.

    Conclusions:

    • Local rules theory offers a novel perspective on organizational dynamics.
    • Understanding the interplay of coadaptation and competition is crucial for organizational stability.
    • Advanced modeling techniques like agent-based simulation can enhance theoretical development.