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On evolutionary explanations of cognitive biases
James A R Marshall1, Pete C Trimmer, Alasdair I Houston
1Department of Computer Science and Kroto Research Institute, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, UK. james.marshall@sheffield.ac.uk
Trends in Ecology & Evolution
|June 25, 2013
Summary
Cognitive biases like overconfidence may be optimal, unlike outcome biases. Understanding their evolutionary function requires integrating mechanisms and subjective experience for a complete evolutionary theory of cognitive bias.
Area of Science:
- Integrates biology, psychology, and neuroscience to study cognitive biases.
- Focuses on the evolutionary basis of apparently irrational decision-making.
Background:
- Irrational biases such as overconfidence, optimism, and pessimism are subjects of increasing scientific interest.
- Current functional explanations for cognitive biases are considered insufficient.
- Distinguishes between suboptimal outcome biases and potentially optimal cognitive biases.
Purpose of the Study:
- To critically evaluate existing functional explanations for cognitive biases.
- To propose a more integrated approach for understanding the evolution of cognitive bias.
- To highlight the challenges in studying subjectively experienced cognitive biases.
Main Methods:
- Theoretical analysis of existing functional proposals for cognitive biases.
- Conceptual framework development for integrating function and mechanism in evolutionary bias theory.
- Emphasis on the subjective experience of cognitive biases and its implications for research.
Main Results:
- Existing functional explanations for cognitive biases are lacking crucial elements.
- Cognitive biases, unlike outcome biases, can be evolutionarily optimal.
- Studying cognitive biases requires addressing their subjective nature.
Conclusions:
- A robust evolutionary theory of cognitive bias necessitates closer integration of function and mechanism.
- Analyzing the evolution of behavioral constraints imposed by cognitive mechanisms is essential.
- Further research should bridge the gap between subjective experience and objective analysis of cognitive biases.
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