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Modelling Social Learning of Adolescence-Limited Criminal Behaviour

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Agents and Artificial Intelligence (ICAART 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 67))

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Abstract

Criminal behaviour exists in many variations, each with its own cause. A large group of offenders only shows criminal behaviour during adolescence. This kind of behaviour is largely influenced by the interaction with others, through social learning. This paper contributes a dynamical agent-based approach to simulate social learning of adolescence-limited criminal behaviour, illustrated for a small school class. The model is designed in such a way that it can be compared with data resulting from a large scale empirical study.

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence, Vrije Universiteit Amsterdam, de Boelelaan 1081a, 1081 HV, The Netherlands

    Tibor Bosse, Charlotte Gerritsen & Michel C. A. Klein

Authors
  1. Tibor Bosse
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  2. Charlotte Gerritsen
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  3. Michel C. A. Klein
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Editor information

Editors and Affiliations

  1. Departament of Systems and Informatics, Polytechnic Institute of Setúbal – INSTICC, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  2. Instituto de Telecomunicaçöes, IST - Instituto Superior Técnico, Av. Rovisco Pais, 1, 1049-001, Lisbon, Portugal

    Ana Fred

  3. School of Computing, Staffordshire University, Baconside,, Stafford, UK

    Bernadette Sharp

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Bosse, T., Gerritsen, C., Klein, M.C.A. (2010). Modelling Social Learning of Adolescence-Limited Criminal Behaviour. In: Filipe, J., Fred, A., Sharp, B. (eds) Agents and Artificial Intelligence. ICAART 2009. Communications in Computer and Information Science, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11819-7_2

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  • DOI: https://doi.org/10.1007/978-3-642-11819-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11818-0

  • Online ISBN: 978-3-642-11819-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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