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Suboptimalities for sure: Arguments from evolutionary theory
Rob Withagen1, John van der Kamp2, Matthieu de Wit3
1Center for Human Movement Sciences,University of Groningen, University Medical Center Groningen,9713 AV Groningen,The Netherlands.r.g.withagen@umcg.nlhttps://www.rug.nl/staff/r.g.withagen/.
The Behavioral and Brain Sciences
|February 16, 2019
Summary
Evolution does not optimize perception, challenging the Bayesian approach. This commentary argues that an evolutionary perspective is crucial for understanding perceptual systems.
Area of Science:
- Cognitive Science
- Evolutionary Biology
- Neuroscience
Background:
- Rahnev & Denison (R&D) discussed suboptimalities in perception.
- R&D's work referenced evolutionary thinking but did not fully integrate it.
- Bayesian approaches are commonly used to model perception.
Purpose of the Study:
- To critique the reliance on Bayesian models in perception research.
- To highlight the importance of evolutionary principles in understanding perception.
- To argue that an evolutionary lens questions the adequacy of current Bayesian models.
Main Methods:
- Commentary on existing research (Rahnev & Denison).
- Philosophical and theoretical analysis.
- Application of evolutionary theory to perceptual models.
Main Results:
- Agreement with R&D that evolution does not strive for optimal outcomes.
- Demonstration that an evolutionary perspective challenges the Bayesian framework for perception.
- Identification of limitations in purely Bayesian accounts of perceptual systems.
Conclusions:
- Evolutionary theory provides a more comprehensive framework for understanding perception than traditional Bayesian models.
- Perceptual systems are shaped by evolutionary pressures, not necessarily by optimality.
- Future research should integrate evolutionary principles to better explain perceptual phenomena.
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