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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
Published on: January 7, 2019
Agent-based modeling of drinking behavior: a preliminary model and potential applications to theory and practice
Dennis M Gorman1, Jadranka Mezic, Igor Mezic
1Department of Epidemiology and Biostatistics, School of Rural Public Health, Texas A&M Health Science Center, College Station, TX 77843-1266, USA. gorman@srph.tamhsc.edu
American Journal of Public Health
|October 5, 2006
Summary
This agent-based simulation shows how social interactions and environmental factors influence drinking behavior. Population mixing speed and drinking environments critically affect how drinking status spreads.
Area of Science:
- Computational Social Science
- Behavioral Modeling
- Epidemiology
Background:
- Understanding population-level drinking behavior is complex.
- Social influences and environmental factors play a significant role.
Purpose of the Study:
- To develop an agent-based simulation model.
- To examine agent-environment interactions influencing drinking behavior dynamics.
Main Methods:
- A 1-dimensional lattice model with agents moving and interacting.
- Agents exchanged information about drinking status.
- A 'bar' environment was introduced to attract agents.
Main Results:
- Drinking status spread based on conversion probabilities, contact rates, and time.
- Population mixing speed influenced conversion saturation.
- The 'bar' altered propagation dynamics, enhancing and buffering spread.
Conclusions:
- Social influences on drinking behavior emerge from agent contacts.
- Environmental characteristics, like drinking venues, focus these influences.
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