Skip to main navigation Skip to search Skip to main content

Simuse: Modeling recreational polydrug use through an agentbased model

  • CRiCS (CSU), Clerse7acute; (USTL), HEMA Consulting
  • CRiCS (CSU)

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper describes an attempt to capture individual and social characteristics of poly-drug use in a generic agent-based model called SimUse. We consider polydrug use and its social context as a complex phenomenon and use a generative framework to create an iterative dialogue between qualitative fieldwork, theoretical constructs and computer simulations. The structure of SimUse includes five levels of influence. In a first time the context of recreational polydrug use and the rationales of this research is introduced; then, the second part of the paper describes the overall structure of the model before detailing key aspects of SimUse: (1) the neurological engine and its behavioural consequences; (2) the decision process and its different elements; and (3) the intra- And extra-individual reevaluation processes. We conclude with two examples of how the model reacts to illustrative parameter changes and external shocks and their consequences for decision-makers.

Original languageEnglish
Pages61-68
Number of pages8
Publication statusPublished - 2013
Externally publishedYes
Event12th International Conference on Modeling and Applied Simulation, MAS 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013 - Athens, Greece
Duration: 25 Sept 201327 Sept 2013

Conference

Conference12th International Conference on Modeling and Applied Simulation, MAS 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013
Country/TerritoryGreece
CityAthens
Period25/09/1327/09/13

Keywords

  • Agent-based model
  • Drug use
  • Social simulation
  • Sociology of deviance

Fingerprint

Dive into the research topics of 'Simuse: Modeling recreational polydrug use through an agentbased model'. Together they form a unique fingerprint.

Cite this