• DocumentCode
    2307018
  • Title

    SimUse: Simulation of recreational poly-drug use

  • Author

    Lamy, François ; Bossomaier, Terry ; Perez, Pascal

  • Author_Institution
    CRiCS, Charles Sturt Univ., Bathurst, SA, Australia
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    170
  • Lastpage
    177
  • Abstract
    This on-going project aims to build an ontological model concerning recreational poly-drug use and to use an agent-based simulation, SimUse, to test and verify related public policies. We consider drug-use (and even more so poly-drug use) to be a complex adaptive system that needs to be studied via a methodology able to describe such a dynamic and complex social phenomenon. To contextualize the complexity of poly-drug use and highlight the necessity of a multidisciplinary approach to study this practice we will pay particular attention to justify our theoretical assertions and computational constructions by qualitative researches, statistical surveys and/or theoretical concepts. The description of the different levels composing the structure of drug use and the dynamics between these levels leads us to consider an ontological approach as the best way to capture and encapsulate poly-drug use. We will describe the global structure of our simulation via an UML diagram as well as the way we want to model the decision process concerning drug consumption. We finish with an illustration of tests that can be run with SimUse: this example presents results of different law enforcement policies and their consequences for decision-makers.
  • Keywords
    Unified Modeling Language; drugs; ontologies (artificial intelligence); statistical analysis; SimUse; UML diagram; agent based simulation; complex adaptive system; decision maker; decision process; drug consumption; ontological approach; ontological model; public policy; recreational polydrug use; Adaptation models; Availability; Complexity theory; Drugs; Ontologies; Public policy; Unified modeling language; agent-based simulation; complexity; drug-policy; drug-use; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Life (ALIFE), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • ISSN
    2160-6374
  • Print_ISBN
    978-1-61284-062-8
  • Type

    conf

  • DOI
    10.1109/ALIFE.2011.5954648
  • Filename
    5954648