Abstract
| 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 | |
| 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 | Portugal |
| City | Porto |
| Period | 19/01/09 → 21/01/09 |
Bibliographical note
ICAART09postprocKeywords
- Agent-based simulation
- Delinquent behaviour
- Social learning
Cite this
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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
TY - GEN
T1 - Modelling Social Learning of Adolescence-Limited Criminal Behaviour
AU - Bosse, T.
AU - Gerritsen, C.
AU - Klein, M.C.A.
N1 - ICAART09postproc
PY - 2010
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.
KW - Agent-based simulation
KW - Delinquent behaviour
KW - Social learning
UR - http://www.scopus.com/inward/record.url?scp=77957574087&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77957574087&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-11819-7_2
DO - 10.1007/978-3-642-11819-7_2
M3 - Conference contribution
SN - 3642118186
SN - 9783642118180
VL - 67 CCIS
T3 - Communications in Computer and Information Science
SP - 19
EP - 32
BT - Agents and Artificial Intelligence - International Conference, ICAART 2009, Revised Selected Papers
A2 - Filipe, Joaquim
A2 - Fred, Ana
A2 - Sharp, Bernadette
PB - Springer/Verlag
ER -