Normalized mutual entropy in biology: Quantifying division of labor

Root Gorelick, Susan M. Bertram, Peter R. Killeen, Jennifer Fewell

    Research output: Contribution to journalArticle

    36 Citations (Scopus)

    Abstract

    Division of labor is one of the primary adaptations of sociality and the focus of much theoretical work on self-organization. This work has been hampered by the lack of a quantitative measure of division of labor that can be applied across systems. We divide Shannon's mutual entropy by marginal entropy to quantify division of labor, rendering it robust over changes in number of individuals or tasks. Reinterpreting individuals and tasks makes this methodology applicable to a wide range of other contexts, such as breeding systems and predator-prey interactions.

    Original languageEnglish (US)
    Pages (from-to)677-682
    Number of pages6
    JournalAmerican Naturalist
    Volume164
    Issue number5
    DOIs
    StatePublished - Nov 2004

    Fingerprint

    labor division
    entropy
    Biological Sciences
    predator-prey relationships
    rendering
    self organization
    predator-prey interaction
    reproductive strategy
    breeding
    methodology

    Keywords

    • Division of labor
    • Entropy
    • Information theory
    • Task specialization

    ASJC Scopus subject areas

    • Ecology

    Cite this

    Normalized mutual entropy in biology : Quantifying division of labor. / Gorelick, Root; Bertram, Susan M.; Killeen, Peter R.; Fewell, Jennifer.

    In: American Naturalist, Vol. 164, No. 5, 11.2004, p. 677-682.

    Research output: Contribution to journalArticle

    Gorelick, Root ; Bertram, Susan M. ; Killeen, Peter R. ; Fewell, Jennifer. / Normalized mutual entropy in biology : Quantifying division of labor. In: American Naturalist. 2004 ; Vol. 164, No. 5. pp. 677-682.
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