Title :
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
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;
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
DOI :
10.1109/ICEGIC.2009.5293584
