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All Thinking is 'Wishful' Thinking.
Arie W Kruglanski1, Katarzyna Jasko2, Karl Friston3
1University of Maryland, Department of Psychology, College Park, MD, USA.
Trends in Cognitive Sciences
|April 15, 2020
Summary
People
Area of Science:
- Psychology
- Cognitive Science
- Computational Neuroscience
Background:
- Human information processing involves seeking or avoiding new data, leading to belief updates or resistance.
- Existing research often frames this as a cognition versus motivation conflict.
Purpose of the Study:
- To integrate epistemic motivation and active inference frameworks.
- To reframe information processing by unifying cognitive and motivational factors.
Main Methods:
- Theoretical integration of epistemic motivation and active inference.
- Mapping social psychological constructs to Bayesian computational principles.
Main Results:
- Both frameworks highlight the critical role of motivation in epistemic processes.
- Epistemic imperatives align with core active inference constructs.
Conclusions:
- Dissolving the cognition-motivation dichotomy offers a unified model of belief updating.
- This integration provides a computational framework for social psychological phenomena.
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