Models of winner and loser effects: a cost-benefit analysis

Hock, Karlo and Huber, Robert (2009) Models of winner and loser effects: a cost-benefit analysis. Behaviour, 146 1: 69-87. doi:10.1163/156853908X390931


Author Hock, Karlo
Huber, Robert
Title Models of winner and loser effects: a cost-benefit analysis
Journal name Behaviour   Check publisher's open access policy
ISSN 0005-7959
1568-539X
Publication date 2009-01-01
Sub-type Article (original research)
DOI 10.1163/156853908X390931
Open Access Status
Volume 146
Issue 1
Start page 69
End page 87
Total pages 19
Place of publication Leiden, Netherlands
Publisher Brill
Language eng
Subject 1103 Clinical Sciences
2802 Behavioral Neuroscience
Abstract Winner and loser effects, in which the probability of future success depends on individual's interaction history, help shape the structure of social hierarchies in animal groups. While reports have documented that both magnitude and symmetry of these effects vary widely across different systems, questions remain whether these effects serve to reduce the associated costs during hierarchy formation. In a series of models, cost-benefit properties of an emerging hierarchy were assessed in relation to variation in winner and loser effects. Coupling high winner effects with low loser effects resulted in an overall increase in aggressiveness in the group, increasing the costs of hierarchy formation for the participants and disrupting its maintenance. In contrast, low winner and high loser effects resulted in an efficient cost reduction while also encouraging stability in social status.
Keyword Aggression
Cost-benefit analysis
Dominance hierarchy
Social rank
Winner-loser effects
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 18 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 27 Aug 2014, 14:21:33 EST by Gail Walter on behalf of School of Biological Sciences