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Motivation needs cognition but is not just about cognition
Nathalie André1, Roy F Baumeister2
1Sport Sciences Faculty, University of Poitiers, Poitiers, France nathalie.andre@univ-poitiers.fr.
The Behavioral and Brain Sciences
|January 31, 2025
Summary
Computational processes cannot replace motivation in theories. Motivation, driven by desire and liking, is essential for rewards. Understanding the motivation-cognition interface is key for future research.
Area of Science:
- Cognitive Science
- Psychology
- Neuroscience
Background:
- Computational processes offer new frameworks for understanding psychological phenomena.
- Motivation theory traditionally explains goal-directed behavior.
- The interplay between cognitive processes and motivational states requires further investigation.
Purpose of the Study:
- To evaluate the extent to which computational processes can fully account for motivation.
- To explore the fundamental role of motivation in subjective experiences like reward.
- To identify promising research directions at the intersection of motivation and cognition.
Main Methods:
- Theoretical analysis of existing models in motivation theory.
- Conceptual integration of computational approaches with motivational concepts.
- Literature review on the nature of rewards and sexual desire.
Main Results:
- Computational processes alone cannot eliminate the need for motivation in psychological theories.
- The rewarding nature of stimuli is contingent on underlying motivational states (wanting and liking).
- Sexual desire is not reducible to a simple search for rewarding information.
Conclusions:
- Motivation remains a core construct, irreducible to purely computational mechanisms.
- Further research should focus on the interface between motivation and cognitive processes.
- Integrating computational and motivational perspectives can advance our understanding of complex behaviors.
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