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Revista Internacional de Investigación en Ciencias Sociales

versión On-line ISSN 2226-4000

Resumen

CANESSA, Enrique  y  QUEZADA, Ariel. Agent-based Modeling: a computer simulation method for the management of public safety. Rev. Int. Investig. Cienc. Soc. [online]. 2013, vol.9, n.2, pp.261-281. ISSN 2226-4000.

This paper presents Agent-based Modeling (ABM) as a useful tool for analyzing social systems and the impact of possible interventions on such systems. To illustrate the power of ABM, the paper uses a didactic example of resource management applied to delinquency control. Using the ABM’s results the paper shows the analysis of possible resource management for public security. This model shows how four types of dynamics appear as the value of the reward for catching thief increases, with abrupt thresholds between each of them: a) police extinction; b) co-existence of police and thief, c) police and thief extinction, and d) thief extinction. The paper concludes that ABM may help in the planning of resources in social interventions and/or research aimed at explaining the basis of non-linear social dynamics.

Palabras clave : Agent-based Modelling; Non-linear Social Dynamics; community management; citizen security.

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