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Toward an evolutionary definition of cheating.

Melanie Ghoul1, Ashleigh S Griffin, Stuart A West

  • 1Department of Zoology, Oxford University, Oxford, OX1 3PS, United Kingdom. melanie.ghoul@zoo.ox.ac.uk.

Evolution; International Journal of Organic Evolution
|October 18, 2013
PubMed
Summary

This study formally defines "cheating" in evolutionary and ecological contexts. It proposes a framework to classify cheating behaviors, aiding in understanding their detection and evolutionary impacts.

Keywords:
Cheatcooperationdeceptionexploitationintentional languagesocial evolution

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Area of Science:

  • Evolutionary Biology
  • Ecology
  • Behavioral Ecology

Background:

  • The term "cheating" in evolutionary and ecological literature describes exploitative or deceitful traits.
  • Concerns exist regarding the implication of cognitive intent and inconsistent usage of the term "cheating".

Purpose of the Study:

  • To provide a formal justification for the use of the term "cheat" from the perspective of an individual as a maximizing agent.
  • To establish a widely applicable definition and classification system for cheating behaviors.

Main Methods:

  • Formal justification of "cheating" using an individual-based maximizing agent model.
  • Development of a classification framework for cheating based on four key distinctions.
  • Analysis of the implications for detecting cheating and its evolutionary consequences.

Main Results:

  • A formal definition of cheating is provided, applicable across various contexts.
  • Cheating behaviors are classified into four categories: cooperation option, deception involvement, species interaction (same/different), and facultative/obligate nature.
  • The framework clarifies issues related to cheating detection, evolutionary consequences, and underlying selection pressures.

Conclusions:

  • The proposed formal definition and classification of "cheating" offer a robust framework for evolutionary and ecological research.
  • This framework resolves ambiguities and highlights commonalities in selection pressures driving cheating behaviors.
  • It facilitates a clearer understanding of the detection and evolutionary trajectory of cheating strategies.