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Updated: Mar 3, 2026

Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
Dynamic Modeling of Problem Drinkers Undergoing Behavioral Treatment
H T Banks1, Kidist Bekele-Maxwell2, R A Everett2
1Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, 27695-8212, USA. htbanks@ncsu.edu.
This study introduces dynamical systems modeling to understand behavior change mechanisms in problem drinkers. Iterative refinement of models using clinical data enhances psychological understanding of alcohol use disorders.
Area of Science:
- Behavioral Science
- Psychology
- Dynamical Systems Modeling
Background:
- Understanding individual behavior change is crucial for treating problem drinking.
- Limited research exists on modeling behavior change in individual patients.
Purpose of the Study:
- To apply dynamical systems modeling to understand intra-personal factors in behavior change for problem drinkers.
- To illustrate an iterative modeling process using individual clinical data.
- To enhance psychological understanding through model refinement.
Main Methods:
- Utilized dynamical systems modeling.
- Employed an iterative process for model refinement.
- Leveraged individual clinical data and psychological insights.
Main Results:
- Demonstrated an iterative modeling process for understanding individual behavior change.
- Showcased how psychological understanding is enhanced through iterative modeling.
- Identified key intra-personal factors interacting in behavior change mechanisms.
Conclusions:
- Dynamical systems modeling is a promising research direction for alcohol use disorders.
- This approach holds potential for broader applications in behavioral sciences.
- Iterative modeling enhances understanding of complex psychological relationships.
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