NARCSim an agent-based illegal drug market simulation

Author

Romano, Daniela M. ; Lomax, Lawrence ; Richmond, Paul

Author_Institution

Comput. Sci., Univ. of Sheffield, Sheffield, UK

fYear

2009

fDate

25-28 Aug. 2009

Firstpage

101

Lastpage

108

Abstract

Combined forces service interventions in the UK illegal drug market can be designed and evaluated using a serious game, where the illegal drug market can be simulated using an agent-based model with a large number of different classes of human behaviour. This paper presents NARCSim the Intelligent-ABM that used to power the illegal drug market serious game under construction. NARCSim is an Agent-Based Social Simulation of Heroin, Cannabis, Cocaine users and dealers, police and treatment officers´ behaviour in UK. The agents´ behaviour has been formalised using X-machines and implemented on the agent-based framework FLAME.

Keywords

behavioural sciences computing; digital simulation; object-oriented programming; software agents; virtual reality; FLAME framework; NARCSim; United Kingdom; X-machines; agent based model; deug dealer behaviour; drug user behaviour; illegal drug market simulation; intelligent ABM model; police officer behaviour; serious game; social simulation; treatment officer behaviour; Computational modeling; Computer science; Computer simulation; Drugs; Equations; Fires; Humans; Intelligent agent; Mathematical model; Predictive models; FLAME; agent-based modeling; illegal drug market; serious game;

fLanguage

English

Publisher

ieee

Conference_Titel

Games Innovations Conference, 2009. ICE-GIC 2009. International IEEE Consumer Electronics Society's

Conference_Location

London

Print_ISBN

978-1-4244-4459-5

Electronic_ISBN

978-1-4244-4460-1

Type

conf

DOI

10.1109/ICEGIC.2009.5293584

Filename

5293584