AGENT-BASED SIMULATION OF SOCIAL LEARNING IN CRIMINOLOGY

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

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.

References

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Paper Citation


in Harvard Style

Bosse T., Gerritsen C. and C. A. Klein M. (2009). AGENT-BASED SIMULATION OF SOCIAL LEARNING IN CRIMINOLOGY . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8111-66-1, pages 5-13. DOI: 10.5220/0001512000050013


in Bibtex Style

@conference{icaart09,
author={Tibor Bosse and Charlotte Gerritsen and Michel C. A. Klein},
title={AGENT-BASED SIMULATION OF SOCIAL LEARNING IN CRIMINOLOGY },
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2009},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001512000050013},
isbn={978-989-8111-66-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - AGENT-BASED SIMULATION OF SOCIAL LEARNING IN CRIMINOLOGY
SN - 978-989-8111-66-1
AU - Bosse T.
AU - Gerritsen C.
AU - C. A. Klein M.
PY - 2009
SP - 5
EP - 13
DO - 10.5220/0001512000050013