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Perspective: the size-complexity rule.

J T Bonner1

  • 1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey 08544, USA. jtbonner@princeton.edu

Evolution; International Journal of Organic Evolution
|November 4, 2004
PubMed
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Larger entities, from organisms to societies, exhibit greater complexity and division of labor. Size changes directly influence complexity, with size increase necessitating greater complexity.

Area of Science:

  • Evolutionary biology
  • Sociology
  • Systems biology

Background:

  • A fundamental principle posits that larger entities possess a greater division of labor.
  • This principle is observed in the increased number of cell types in larger multicellular organisms.
  • The size-complexity rule is a widely accepted, albeit approximate, generalization across living systems and societies.

Purpose of the Study:

  • To examine the size-complexity rule across diverse entities, from microorganisms to complex societies.
  • To analyze the reciprocal relationship between changes in size and changes in complexity.
  • To investigate the role of size quorum sensing in very small multicellular organisms as evidence for this relationship.

Main Methods:

  • Comparative analysis of size and complexity across different scales of biological organization (unicellular to multicellular organisms, plants, animals).

Related Experiment Videos

  • Examination of societal structures as analogous systems to biological organisms.
  • Review of existing literature and theoretical frameworks on size-related biological and social rules.

    • Main Results:

    • The size-complexity rule demonstrates a consistent positive correlation between entity size and complexity across all examined systems.
    • Size increase necessitates an increase in complexity, while size decrease permits or requires a decrease in complexity.
    • Complexity changes can permit size changes but do not strictly require them.

    Conclusions:

    • The size-complexity rule is a robust, approximate principle governing living organisms and societies.
    • The relationship between size and complexity is dynamic and bidirectional, with size often driving complexity.
    • Size quorum sensing in small multicellular organisms provides compelling evidence for the fundamental link between size and organizational complexity.