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A Game-Theoretical Winner and Loser Model of Dominance Hierarchy Formation
- Source :
- Bulletin of Mathematical Biology
- Publication Year :
- 2016
- Publisher :
- Springer, 2016.
-
Abstract
- Many animals spend large parts of their lives in groups. Within such groups, they need to find efficient ways of dividing available resources between them. This is often achieved by means of a dominance hierarchy, which in its most extreme linear form allocates a strict priority order to the individuals. Once a hierarchy is formed, it is often stable over long periods, but the formation of hierarchies among individuals with little or no knowledge of each other can involve aggressive contests. The outcome of such contests can have significant effects on later contests, with previous winners more likely to win (winner effects) and previous losers more likely to lose (loser effects). This scenario has been modelled by a number of authors, in particular by Dugatkin. In his model, individuals engage in aggressive contests if the assessment of their fighting ability relative to their opponent is above a threshold \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta $$\end{document}θ. Here we present a model where each individual can choose its own value \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta $$\end{document}θ. This enables us to address questions such as how aggressive should individuals be in order to take up one of the first places in the hierarchy? We find that a unique strategy evolves, as opposed to a mixture of strategies. Thus, in any scenario there exists a unique best level of aggression, and individuals should not switch between strategies. We find that for optimal strategy choice, the hierarchy forms quickly, after which there are no mutually aggressive contests.
- Subjects :
- 0106 biological sciences
Life Sciences & Biomedicine - Other Topics
DYNAMICS
Mathematics(all)
INFORMATION
Evolutionary game theory
FEATHER PECKING
Poison control
Stopping time
01 natural sciences
Outcome (game theory)
Order (exchange)
Environmental Science(all)
Economics
QA
General Environmental Science
GROUP-SIZE
Hierarchy
Behavior, Animal
Agricultural and Biological Sciences(all)
General Neuroscience
05 social sciences
Biological Evolution
Aggression
Computational Theory and Mathematics
Original Article
General Agricultural and Biological Sciences
Game theory
Life Sciences & Biomedicine
Bioinformatics
General Mathematics
Neuroscience(all)
Immunology
010603 evolutionary biology
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Microeconomics
Game Theory
Dominance hierarchy
Animals
0501 psychology and cognitive sciences
050102 behavioral science & comparative psychology
Biology
Simulation
01 Mathematical Sciences
Population Density
Pharmacology
Science & Technology
Biochemistry, Genetics and Molecular Biology(all)
Mathematical Concepts
AGGRESSIVE-BEHAVIOR
06 Biological Sciences
EVOLUTION
Expected payoff
SOCIAL-DOMINANCE
REPRODUCTION
Social Dominance
DENSITY
DOLPHINS TURSIOPS-ADUNCUS
Mathematical & Computational Biology
Resource holding potential
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Bulletin of Mathematical Biology
- Accession number :
- edsair.doi.dedup.....b5ee0868bdb9312f0c46e32f78484b31