Normalized mutual entropy in biology: quantifying division of labor.

by: R Gorelick, SM Bertram, PR Killeen, JH Fewell

Am Nat, Vol. 164, No. 5. (November 2004), pp. 677-682.

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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.

@article{citeulike:1324359, 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.}, address = {School of Life Sciences, Arizona State University, Tempe, Arizona 85287-4501, USA. cycad@asu.edu}, author = {Gorelick, R. and Bertram, S. M. and Killeen, P. R. and Fewell, J. H. }, citeulike-article-id = {1324359}, doi = {10.1086/424968}, issn = {1537-5323}, journal = {Am Nat}, keywords = {thesis}, month = {November}, number = {5}, pages = {677--682}, posted-at = {2007-05-24 06:24:46}, priority = {5}, title = {Normalized mutual entropy in biology: quantifying division of labor.}, url = {http://dx.doi.org/10.1086/424968}, volume = {164}, year = {2004} }

RIS record

TY - JOUR ID - citeulike:1324359 L3 - citeulike-article-id:1324359 TI - Normalized mutual entropy in biology: quantifying division of labor. JF - Am Nat VL - 164 IS - 5 SP - 677 EP - 682 AD - School of Life Sciences, Arizona State University, Tempe, Arizona 85287-4501, USA. cycad@asu.edu SN - 1537-5323 N2 - 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. KW - thesis AU - Gorelick, R AU - Bertram, SM AU - Killeen, PR AU - Fewell, JH PY - 2004/11// UR - http://dx.doi.org/10.1086/424968 ER -

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