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Recovery from addiction: Behavioral economics and value-based decision making
Matt Field1, Nick Heather1, James G Murphy1
1Department of Psychology.
This study introduces a novel computational approach to addiction recovery, explaining behavioral shifts through changes in decision-making processes. It highlights how value-based decision-making (VBDM) models recovery by altering evidence accumulation and response thresholds.
Area of Science:
- Neuroscience
- Psychology
- Behavioral Economics
Background:
- Behavioral economics frameworks explain shifts in activity allocation during addiction recovery.
- However, they do not detail the internal cognitive processes driving these changes.
- Addiction is characterized by reinforcement pathologies and decision-making vulnerabilities.
Purpose of the Study:
- To present a novel analysis of addiction recovery using computational value-based decision-making (VBDM).
- To explain how individuals overcome addiction-related decision-making impairments.
- To reconcile VBDM with existing addiction treatment mechanisms and self-control debates.
Main Methods:
- Utilizing computational models of value-based decision-making (VBDM).
- Analyzing shifts in reinforcer preferences from substance use to substance-free activities.
- Examining changes in evidence accumulation rates and response thresholds in choice scenarios.
Main Results:
- Proposes that recovery involves changes in evidence accumulation and response thresholds.
- Demonstrates how VBDM can explain overcoming reinforcement pathologies.
- Offers a framework for understanding shifts in preferences towards substance-free activities.
Conclusions:
- Value-based decision-making (VBDM) provides a mechanistic account for addiction recovery.
- This approach can empirically address debates on self-control impairments in addiction.
- Highlights the need for careful consideration of conceptual and methodological issues in applying VBDM to addiction research.
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