Literature DB >> 10640384

Cheating as a mixed strategy in a simple model of aggressive communication.

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Abstract

The possibility that frequency-dependent cheating can persist in an evolutionarily stable communication system has frequently been proposed. Although there is empirical evidence for this idea, however, it has not been investigated in terms of game theory. In the present paper I show for a simple symmetric game that cheating can be part of a mixed evolutionarily stable strategy (ESS). Furthermore, despite the widespread assumption that cheaters must be rare, I show that most of the population can be cheaters, while the signalling system remains evolutionarily stable. Consequences for signalling theory and experiments to detect such mixed ESS are discussed. Copyright 2000 The Association for the Study of Animal Behaviour.

Entities:  

Year:  2000        PMID: 10640384     DOI: 10.1006/anbe.1999.1293

Source DB:  PubMed          Journal:  Anim Behav        ISSN: 0003-3472            Impact factor:   2.844


  15 in total

1.  Cost and conflict in animal signals and human language.

Authors:  M Lachmann; S Szamado; C T Bergstrom
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-30       Impact factor: 11.205

2.  Biting cleaner fish use altruism to deceive image-scoring client reef fish.

Authors:  Redouan Bshary
Journal:  Proc Biol Sci       Date:  2002-10-22       Impact factor: 5.349

Review 3.  Social eavesdropping and the evolution of conditional cooperation and cheating strategies.

Authors:  Ryan L Earley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-09-12       Impact factor: 6.237

4.  The disadvantage of combinatorial communication.

Authors:  Michael Lachmann; Carl T Bergstrom
Journal:  Proc Biol Sci       Date:  2004-11-22       Impact factor: 5.349

5.  Fighting for shells: how private information about resource value changes hermit crab pre-fight displays and escalated fight behaviour.

Authors:  Gareth Arnott; Robert W Elwood
Journal:  Proc Biol Sci       Date:  2007-12-07       Impact factor: 5.349

6.  Dynamics of deceptive interactions in social networks.

Authors:  Rafael A Barrio; Tzipe Govezensky; Robin Dunbar; Gerardo Iñiguez; Kimmo Kaski
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

7.  Effects of deception in social networks.

Authors:  Gerardo Iñiguez; Tzipe Govezensky; Robin Dunbar; Kimmo Kaski; Rafael A Barrio
Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

8.  Mutual assessment via visual status signals in Polistes dominulus wasps.

Authors:  Elizabeth A Tibbetts; Alex Mettler; Stephanie Levy
Journal:  Biol Lett       Date:  2009-07-29       Impact factor: 3.703

9.  Detecting deception in movement: the case of the side-step in rugby.

Authors:  Sébastien Brault; Benoit Bideau; Richard Kulpa; Cathy M Craig
Journal:  PLoS One       Date:  2012-06-11       Impact factor: 3.240

10.  Attention-Seeking Displays.

Authors:  Szabolcs Számadó
Journal:  PLoS One       Date:  2015-08-19       Impact factor: 3.240

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