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Why we need ESS signalling theory

A Grafen1, R A Johnstone

  • 1Department of Plant Sciences, University of Oxford, U.K.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|May 29, 1993
PubMed
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Evolutionarily stable strategy (ESS) models reveal that errors in biological signalling perception can explain signal discreteness. Formal modelling highlights the importance of considering perception errors in signalling coevolution.

Area of Science:

  • Evolutionary biology
  • Game theory
  • Animal communication

Background:

  • Biological signalling involves complex coevolution of signalling and receiving strategies.
  • Existing models often simplify the intricate dynamics of signal evolution.
  • Understanding signal variation in nature requires robust theoretical frameworks.

Purpose of the Study:

  • To investigate the role of perception errors in biological signalling using formal modelling.
  • To explore how errors can lead to observable signal discreteness.
  • To propose new theoretical avenues for signalling games.

Main Methods:

  • Numerical study of error-prone signalling models.
  • Application of game theory principles to biological communication.

Related Experiment Videos

  • Development of a 'scratch space' concept for simultaneous role-playing.

    • Main Results:

    • Perception errors can naturally explain the discreteness observed in biological signal distributions.
    • Formal modelling demonstrates the significance of incorporating errors into ESS models.
    • The 'scratch space' offers a novel approach to two-way information games.

    Conclusions:

    • Error-prone signalling is a key factor in understanding signal evolution and variation.
    • Theoretical models can be advanced by linking signalling theory with aggression and game theory.
    • Strategic analysis may offer insights into the derivation of mental states.