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This research examines the limitations of existing models of addiction and proposes new frameworks for understanding the disorder.

December 9, 2025Exploration of neuroscienceOpen Access

Rethinking computational models of addiction: toward context-sensitive and psychologically grounded frameworks

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This research examines the limitations of existing models of addiction and proposes new frameworks for understanding the disorder.
Critical examination of disease and compulsion models of addiction
Analysis of psychological, social, and systemic dimensions
Evaluation of treatment approaches and their alignment with lived experiences
Identified shortcomings in prevailing chronic brain disease models
Emphasized the need for more personalized interventions
Proposed context-sensitive models for capturing addiction complexity

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Implication

Critical analysis reveals limitations of current computational models of addiction, suggesting new context-sensitive approaches may enhance treatment effectiveness.

Cite This Study

Aida Manu (2025) studied this question.

synapsesocial.com/papers/69401d5b2d562116f28f8b1e https://doi.org/10.37349/en.2025.1006119

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Implication

Critical analysis reveals limitations of current computational models of addiction, suggesting new context-sensitive approaches may enhance treatment effectiveness.

Rethinking computational models of addiction: toward context-sensitive and psychologically grounded frameworks

Key Points

Discussion

Implication

Cite This Study

Rethinking computational models of addiction: toward context-sensitive and psychologically grounded frameworks

Key Points

Discussion

Implication

Cite This Study

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