Evolution of fighting behaviour: Decision rules and assessment of relative strength

653Citations
Citations of this article
355Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A mathematical model of fighting behaviour is developed. The contestants belong to a population with varying fighting abilities and the fights consist of the repetition of one type of interaction. At each interaction in the sequence the opponents acquire some information about the true fighting abilities. The fights are seen as a motion of each opponent through a causal factor space; the current position of an animal in the space represents all information obtained by the animals so far. A decision rule (strategy) is a specification of what action to take at each point in the causal factor space. Evolutionarily stable strategies are calculated numerically and are found to be pure and unique. The distribution of fighting times and the probabilities of winning are calculated for pairs of contestants from a population using the ESS. Expected utilities are also computed and in the situations investigated they are fairly close to the maximum value that would obtain if the contested resource were divided equally between the contestants without any cost. © 1983.

References Powered by Scopus

Get full text
1708Citations
638Readers
Get full text
1657Citations
782Readers
Get full text

Cited by Powered by Scopus

Get full text
594Citations
609Readers
560Citations
483Readers
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Enquist, M., & Leimar, O. (1983). Evolution of fighting behaviour: Decision rules and assessment of relative strength. Journal of Theoretical Biology, 102(3), 387–410. https://doi.org/10.1016/0022-5193(83)90376-4

Readers over time

‘09‘10‘11‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘25015304560

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 162

63%

Researcher 52

20%

Professor / Associate Prof. 32

13%

Lecturer / Post doc 10

4%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 216

79%

Environmental Science 26

10%

Psychology 20

7%

Social Sciences 11

4%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0