Simulating protection rackets : a case study of the Sicilian mafia
License
Access Rights
Cadmus Permanent Link
Full-text via DOI
ISBN
ISSN
1387-2532; 1573-7454
Issue Date
Type of Publication
LC Subject Heading
Other Topic(s)
EUI Research Cluster(s)
Initial version
Published version
Succeeding version
Preceding version
Published version part
Earlier different version
Initial format
Citation
Autonomous agents and multi-agent systems, 2016, Vol. 30, No. 6, pp. 1117-1147
Cite
NARDIN, Luis Gustavo, ANDRIGHETTO, Giulia, CONTE, Rosaria, SZÉKELY, Áron, ANZOLA, David, ELSENBROICH, Corinna, LOTZMANN, Ulf, NEUMANN, Martin, PUNZO, Valentina, TROITZSCH, Klaus G., Simulating protection rackets : a case study of the Sicilian mafia, Autonomous agents and multi-agent systems, 2016, Vol. 30, No. 6, pp. 1117-1147 - https://hdl.handle.net/1814/61456
Abstract
Protection racketeering groups are powerful, deeply entrenched in multiple societies across the globe, and they harm the societies and economies in which they operate in multiple ways. These reasons make their dynamics important to understand and an objective of both scientific and application-oriented interest. Legal and social norm-based approaches arguably play significant roles in influencing protection racket dynamics. We propose an agent-based simulation model, the Palermo Scenario, to enrich our understanding of these influences and to test the effect of different policies on protection racket dynamics. Our model integrates the legal and the social norm-based approaches and uses a complex normative agent architecture that enables the analysis of both agents' behaviours and mental normative representations driving behaviour. We demonstrate the usefulness of the model and the benefits of using this complex normative architecture through a case study of the Sicilian Mafia.
Table of Contents
Additional Information
External Links
Publisher
Geographical Coverage
Temporal Coverage
Version
Source
Source Link
Research Projects
European Commission, 315874
Sponsorship and Funder Information
This work was partially supported by the FP7-ICT Science of Global Systems programme of the European Commission through Project GLODERS (http://www.gloders.eu, Global Dynamics of Extortion Racket Systems) under Grant agreement no.: 315874.