Literature DB >> 24131102

Toward an evolutionary definition of cheating.

Melanie Ghoul1, Ashleigh S Griffin, Stuart A West.   

Abstract

The term "cheating" is used in the evolutionary and ecological literature to describe a wide range of exploitative or deceitful traits. Although many find this a useful short hand, others have suggested that it implies cognitive intent in a misleading way, and is used inconsistently. We provide a formal justification of the use of the term "cheat" from the perspective of an individual as a maximizing agent. We provide a definition for cheating that can be applied widely, and show that cheats can be broadly classified on the basis of four distinctions: (i) whether cooperation is an option; (ii) whether deception is involved; (iii) whether members of the same or different species are cheated; and (iv) whether the cheat is facultative or obligate. Our formal definition and classification provide a framework that allow us to resolve and clarify a number of issues, regarding the detection and evolutionary consequences of cheating, as well as illuminating common principles and similarities in the underlying selection pressures.
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Entities:  

Keywords:  Cheat; cooperation; deception; exploitation; intentional language; social evolution

Mesh:

Year:  2013        PMID: 24131102     DOI: 10.1111/evo.12266

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  58 in total

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Review 2.  Cheating and punishment in cooperative animal societies.

Authors:  Christina Riehl; Megan E Frederickson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-02-05       Impact factor: 6.237

3.  Functional amyloids promote retention of public goods in bacteria.

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4.  Major evolutionary transitions in individuality.

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Review 5.  Signals, cues and the nature of mimicry.

Authors:  Gabriel A Jamie
Journal:  Proc Biol Sci       Date:  2017-02-22       Impact factor: 5.349

6.  Ecological conditions alter cooperative behaviour and its costs in a chemically defended sawfly.

Authors:  Carita Lindstedt; Antti Miettinen; Dalial Freitak; Tarmo Ketola; Andres López-Sepulcre; Elina Mäntylä; Hannu Pakkanen
Journal:  Proc Biol Sci       Date:  2018-08-01       Impact factor: 5.349

7.  Quantitative and synthetic biology approaches to combat bacterial pathogens.

Authors:  Feilun Wu; Jonathan H Bethke; Meidi Wang; Lingchong You
Journal:  Curr Opin Biomed Eng       Date:  2017-10-24

8.  Bacterial Quorum Sensing Stabilizes Cooperation by Optimizing Growth Strategies.

Authors:  Eric L Bruger; Christopher M Waters
Journal:  Appl Environ Microbiol       Date:  2016-10-27       Impact factor: 4.792

9.  Nutrient status shapes selfish mitochondrial genome dynamics across different levels of selection.

Authors:  Bryan L Gitschlag; Ann T Tate; Maulik R Patel
Journal:  Elife       Date:  2020-09-22       Impact factor: 8.140

10.  Quorum-sensing control of antibiotic resistance stabilizes cooperation in Chromobacterium violaceum.

Authors:  Kara C Evans; Saida Benomar; Lennel A Camuy-Vélez; Ellen B Nasseri; Xiaofei Wang; Benjamin Neuenswander; Josephine R Chandler
Journal:  ISME J       Date:  2018-01-26       Impact factor: 10.302

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