Agent-Based Modeling as a Method of Crime Research

DOI

10.2991/aebmr.k.210320.021How to use a DOI?

Keywords

modeling of social processes, counteraction, crime, punishment, agent-based modeling, artificial society

Abstract

Currently, the study of society is taking new forms due to the rapid development of technology. Innovative working methods with a colossal database make it possible to improve the social sciences’ scientific results. The use of agent-baesd modeling is a promising methodology in the fight against crime. The article’s authors created a combating crime model thanks to the NetLogo software (all software is available in free access). The current model can be tested to analyze the impact of different configurations of artificial society’s parameters on the conditional crime rate. The authors found that with specific indicators of the dependent crime level, the increase in punishment only increases criminals’ proportion. Besides, the simulation varied the objective existence of a particular threshold value of a probable sentence. The artificial society begins to show the opposite dynamic - a decrease in the number of criminals. The actual results give reason to discuss the effectiveness of criminal law regulation. Getting a balance between the resources that society can allocate to fight crime and the desired level of law and order becomes more rational.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mykola Karchevskyi
AU  - Helen Karchevskaya
PY  - 2021
DA  - 2021/03/22
TI  - Agent-Based Modeling as a Method of Crime Research
BT  - Proceedings of the International Conference on Economics, Law and Education Research (ELER 2021)
PB  - Atlantis Press
SP  - 117
EP  - 121
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210320.021
DO  - 10.2991/aebmr.k.210320.021
ID  - Karchevskyi2021
ER  -