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Processing bias: extending sensory drive to include efficacy and efficiency in information processing.

Julien P Renoult1, Tamra C Mendelson2

  • 11 Centre of Evolutionary and Functional Ecology (CEFE UMR5175), CNRS-University of Montpellier-University Paul-Valery Montpellier-EPHE) , 1919 route de Mende, 34293 Montpellier , France.

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PubMed
Summary
This summary is machine-generated.

Evolutionary biologists can now link signal design to receiver preference using the processing bias model. This model explains how efficient and effective information processing influences attraction and drives signal evolution.

Keywords:
cognitionemotionevolution of aesthetics and beautyinformation theorysensory exploitation and pre-existing biassexual signals

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Area of Science:

  • Evolutionary biology
  • Empirical aesthetics
  • Animal communication

Background:

  • Communication signals utilize diverse modalities (color, sound, odor) in complex patterns.
  • Understanding the mechanistic link between perception, preference, and signal evolution remains a challenge.
  • Empirical aesthetics investigates the basis of aesthetic preferences.

Purpose of the Study:

  • To propose a model linking receiver perception, preference, and signal design evolution.
  • To integrate empirical aesthetics' processing bias concept into evolutionary biology.
  • To apply this to the sensory drive model for understanding signal evolution.

Main Methods:

  • The study discusses the 'processing bias' model rooted in empirical aesthetics.
  • This model posits preferences are influenced by emotional monitoring of information processing.
  • It applies this to the evolutionary model of sensory drive.

Main Results:

  • Attractive signals are proposed to have effective (high information transmission) or efficient (low metabolic cost) designs, or both.
  • This creates an emotionally rewarding experience of information processing.
  • The processing bias links preference to this rewarding experience.

Conclusions:

  • Incorporating processing bias into sensory drive hypothesizes a causal chain: environment -> perception -> pleasure -> preference -> signal evolution.
  • This provides a framework for understanding the evolution of both simple and complex signals.
  • The model offers a mechanistic explanation for how receiver psychology shapes signal evolution.