The aim of this paper is twofold. On one hand, it is aimed to propose Agent-Based Modeling (ABM) as a general approach to study the dynamics of different forms of illegality and check the efficacy of different answers and potential solutions. On the other, it presents an ABM model to reproduce the demographics, economic and employments variable of a Southern Italian region (Campania) where one specific variant of Extortion Racketeering Systems (ERSs), Camorra, is highly active and prosperous. Peliminary results of a set of simulations will show the effects of varying levels of extortion and punishment on the rates of inactivity, employment, etc. of a population of agents endowed with social learning mechanisms.
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|Titolo:||An Agent Based Approach to the Dynamics of Illegality. A position Paper|
|Data di pubblicazione:||2011|
|Appartiene alla tipologia:||04a Atto di comunicazione a congresso|