Utility rate equations of group population dynamics in biological and social systems.

We present a novel system of equations to describe the evolution of self-organized structured societies (biological or human) composed of several trait groups. The suggested approach is based on the combination of ideas employed in the theory of biological populations, system theory, and utility the...

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Main Authors: Vyacheslav I Yukalov, Elizaveta P Yukalova, Didier Sornette
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3875461?pdf=render
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spelling doaj-c64d51a40d19469d83c7987ddb38aa1a2020-11-24T22:17:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8322510.1371/journal.pone.0083225Utility rate equations of group population dynamics in biological and social systems.Vyacheslav I YukalovElizaveta P YukalovaDidier SornetteWe present a novel system of equations to describe the evolution of self-organized structured societies (biological or human) composed of several trait groups. The suggested approach is based on the combination of ideas employed in the theory of biological populations, system theory, and utility theory. The evolution equations are defined as utility rate equations, whose parameters are characterized by the utility of each group with respect to the society as a whole and by the mutual utilities of groups with respect to each other. We analyze in detail the cases of two groups (cooperators and defectors) and of three groups (cooperators, defectors, and regulators) and find that, in a self-organized society, neither defectors nor regulators can overpass the maximal fractions of about [Formula: see text] each. This is in agreement with the data for bee and ant colonies. The classification of societies by their distance from equilibrium is proposed. We apply the formalism to rank the countries according to the introduced metric quantifying their relative stability, which depends on the cost of defectors and regulators as well as their respective population fractions. We find a remarkable concordance with more standard economic ranking based, for instance, on GDP per capita.http://europepmc.org/articles/PMC3875461?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Vyacheslav I Yukalov
Elizaveta P Yukalova
Didier Sornette
spellingShingle Vyacheslav I Yukalov
Elizaveta P Yukalova
Didier Sornette
Utility rate equations of group population dynamics in biological and social systems.
PLoS ONE
author_facet Vyacheslav I Yukalov
Elizaveta P Yukalova
Didier Sornette
author_sort Vyacheslav I Yukalov
title Utility rate equations of group population dynamics in biological and social systems.
title_short Utility rate equations of group population dynamics in biological and social systems.
title_full Utility rate equations of group population dynamics in biological and social systems.
title_fullStr Utility rate equations of group population dynamics in biological and social systems.
title_full_unstemmed Utility rate equations of group population dynamics in biological and social systems.
title_sort utility rate equations of group population dynamics in biological and social systems.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description We present a novel system of equations to describe the evolution of self-organized structured societies (biological or human) composed of several trait groups. The suggested approach is based on the combination of ideas employed in the theory of biological populations, system theory, and utility theory. The evolution equations are defined as utility rate equations, whose parameters are characterized by the utility of each group with respect to the society as a whole and by the mutual utilities of groups with respect to each other. We analyze in detail the cases of two groups (cooperators and defectors) and of three groups (cooperators, defectors, and regulators) and find that, in a self-organized society, neither defectors nor regulators can overpass the maximal fractions of about [Formula: see text] each. This is in agreement with the data for bee and ant colonies. The classification of societies by their distance from equilibrium is proposed. We apply the formalism to rank the countries according to the introduced metric quantifying their relative stability, which depends on the cost of defectors and regulators as well as their respective population fractions. We find a remarkable concordance with more standard economic ranking based, for instance, on GDP per capita.
url http://europepmc.org/articles/PMC3875461?pdf=render
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