Modelling Social Learning of Adolescence-Limited Criminal Behaviour

T. Bosse; C. Gerritsen; M.C.A. Klein

doi:10.1007/978-3-642-11819-7_2

Modelling Social Learning of Adolescence-Limited Criminal Behaviour

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers
Editors	Joaquim Filipe, Ana Fred, Bernadette Sharp
Publisher	Springer/Verlag
Pages	19-32
Number of pages	14
Volume	67 CCIS
ISBN (Print)	3642118186, 9783642118180
DOIs	https://doi.org/10.1007/978-3-642-11819-7_2
Publication status	Published - 2010
Event	1st International Conference on Agents and Artificial Intelligence, ICAART 2009 - Porto, Portugal Duration: 19 Jan 2009 → 21 Jan 2009

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	67 CCIS
ISSN (Print)	1865-0929

Conference

Conference	1st International Conference on Agents and Artificial Intelligence, ICAART 2009
Country/Territory	Portugal
City	Porto
Period	19/01/09 → 21/01/09

Bibliographical note

ICAART09postproc

Keywords

Agent-based simulation
Delinquent behaviour
Social learning

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-11819-7_2Licence: Unspecified

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Cite this

Bosse, T., Gerritsen, C., & Klein, M. C. A. (2010). Modelling Social Learning of Adolescence-Limited Criminal Behaviour. In J. Filipe, A. Fred, & B. Sharp (Eds.), Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers (Vol. 67 CCIS, pp. 19-32). (Communications in Computer and Information Science; Vol. 67 CCIS). Springer/Verlag. https://doi.org/10.1007/978-3-642-11819-7_2

Bosse, T. ; Gerritsen, C. ; Klein, M.C.A. / Modelling Social Learning of Adolescence-Limited Criminal Behaviour. Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers. editor / Joaquim Filipe ; Ana Fred ; Bernadette Sharp. Vol. 67 CCIS Springer/Verlag, 2010. pp. 19-32 (Communications in Computer and Information Science).

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keywords = "Agent-based simulation, Delinquent behaviour, Social learning",

author = "T. Bosse and C. Gerritsen and M.C.A. Klein",

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year = "2010",

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Bosse, T, Gerritsen, C & Klein, MCA 2010, Modelling Social Learning of Adolescence-Limited Criminal Behaviour. in J Filipe, A Fred & B Sharp (eds), Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers. vol. 67 CCIS, Communications in Computer and Information Science, vol. 67 CCIS, Springer/Verlag, pp. 19-32, 1st International Conference on Agents and Artificial Intelligence, ICAART 2009, Porto, Portugal, 19/01/09. https://doi.org/10.1007/978-3-642-11819-7_2

Modelling Social Learning of Adolescence-Limited Criminal Behaviour. / Bosse, T.; Gerritsen, C.; Klein, M.C.A.
Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers. ed. / Joaquim Filipe; Ana Fred; Bernadette Sharp. Vol. 67 CCIS Springer/Verlag, 2010. p. 19-32 (Communications in Computer and Information Science; Vol. 67 CCIS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Y1 - 2010

N2 - 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.

AB - 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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SN - 9783642118180

VL - 67 CCIS

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BT - Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers

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Bosse T, Gerritsen C , Klein MCA. Modelling Social Learning of Adolescence-Limited Criminal Behaviour. In Filipe J, Fred A, Sharp B, editors, Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers. Vol. 67 CCIS. Springer/Verlag. 2010. p. 19-32. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-11819-7_2

Modelling Social Learning of Adolescence-Limited Criminal Behaviour

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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Cite this