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Related Experiment Videos

On the origin of modular variation.

Hod Lipson1, Jordan B Pollack, Nam P Suh

  • 1Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York 14853, USA.

Evolution; International Journal of Organic Evolution
|October 2, 2002
PubMed
Summary

Modularity, a key to robustness and evolvability, emerges spontaneously in evolutionary systems. Increased variation rates logarithmically increase modular separation, predicting modular architectures in changing environments.

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Area of Science:

  • Evolutionary biology
  • Systems biology
  • Computational modeling

Background:

  • Modularity, defined as functional units separable from their surrounding structure, is crucial for robustness and evolvability.
  • Existing knowledge highlights the benefits of modularity but lacks quantitative models for its emergence.
  • The origin of modular variation in nature remains an open question.

Purpose of the Study:

  • To develop a quantitative model for the spontaneous emergence of modularity in evolutionary systems.
  • To investigate the relationship between variation rate and the degree of modular separation.
  • To explore the implications of this model for understanding natural modularity and engineering design.

Main Methods:

  • Utilizing simple computer simulations to model evolutionary systems.

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  • Introducing variation as a key factor influencing system dynamics.
  • Analyzing the resulting system architecture for emergent modularity.

    • Main Results:

    • Modularity arises spontaneously in response to variation within evolutionary systems.
    • The extent of modular separation is logarithmically proportional to the rate of variation.
    • A correlation is predicted between modular architectures and high environmental change rates.

    Conclusions:

    • Modularity is a generic phenomenon that can emerge without special substrates.
    • The findings suggest modular design principles applicable to engineering, particularly in evolutionary simulations.
    • Evolving systems towards variable fitness criteria can induce modularity effectively.