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Could Bayesian cognitive science undermine dual-process theories of reasoning?
1Department of Psychological Sciences, Birkbeck College, University of London, London, UK mike.oaksford@bbk.ac.ukhttps://www.bbk.ac.uk/our-staff/profile/8009448/mike-oaksford.
The Behavioral and Brain Sciences
|July 18, 2023
Summary
Recent Bayesian cognitive science models show a single reasoning system can produce both correct and biased responses. This suggests dual processes of reasoning may not be necessary to explain human decision-making.
Area of Science:
- Cognitive Science
- Bayesian Modeling
- Human Reasoning
Background:
- Dual-process theories propose distinct systems for intuitive and deliberate thought.
- Computational models in cognitive science aim to explain human behavior and decision-making.
Purpose of the Study:
- To investigate whether a single cognitive system can account for both correct and biased responses.
- To challenge the necessity of dual-process theories in explaining human reasoning.
Main Methods:
- Utilizing computational-level models from Bayesian cognitive science.
- Analyzing task performance data to predict response patterns.
Main Results:
- Models successfully predicted both "biased" and correct responses within a single framework.
- Demonstrated that a unified system can generate diverse response types.
Conclusions:
- Human reasoning may not require separate intuitive and deliberative systems.
- A single, integrated cognitive system can explain the variability in human responses.
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