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Updated: Apr 7, 2026

Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
Published on: July 22, 2025
Neural correlates of deductive reasoning: An ERP study with the Wason Selection Task
Tim R H Cutmore1, Graeme S Halford2, Ya Wang3
1Behavioural Basis of Health, Griffith Health Institute and School of Applied Psychology, Griffith University, Brisbane, Australia.
This study modified the Wason Selection Task (WST) to analyze reasoning processes, finding distinct neural responses (N2, P3 components) for different card types, reflecting cognitive complexity.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Reasoning
Background:
- The Wason Selection Task (WST) is a foundational test for understanding deductive reasoning.
- Previous WST studies faced challenges with task interpretation and isolating cognitive processes.
- Investigating the neural correlates of reasoning complexity requires refined experimental paradigms.
Purpose of the Study:
- To develop modified Wason Selection Task (WST) protocols for enhanced analysis of reasoning.
- To investigate the cognitive complexity of different WST card conditions using behavioral and electrophysiological data.
- To identify specific event-related potential (ERP) components associated with reasoning demands.
Main Methods:
- Implemented modifications to the WST, including extensive training, working memory isolation, and varied rule formats.
- Included control cards and analyzed cognitive complexity for each card type.
- Recorded behavioral data and event-related potentials (ERPs), focusing on N2, P3, and late slow wave components.
Main Results:
- Negative cards (not-P, not-Q) elicited distinct ERPs compared to positive cards (P, Q).
- The N2 component differentiated negative from positive conditions, indicating higher cognitive load.
- P3 component amplitude was largest for simpler control and P cards, while late slow waves reflected sustained processing of more complex conditions.
Conclusions:
- Modified WST effectively distinguished reasoning processes and their cognitive complexity.
- ERP components (N2, P3, late slow wave) provide neural markers for reasoning complexity and processing demands.
- Findings support the interpretation of neural activity in relation to the cognitive complexity of deductive reasoning tasks.
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