Agent-Based Modelling for Criminological Theory Testing and Development

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Activity Nodes
Agent Based Modelling
agent-based simulation for theory evaluation
Artificial intelligence
Artificial Society
Awareness Space
Category=GPS
Category=JKV
Category=JKVC
computational criminology
Corrupt Agents
crime analysis
Crime Attractors
Crime Events
Crime Generators
Crime Pairs
crime pattern analysis
Crime Pattern Theory
Crime Science
Criminological Theory
Criminological theory testing
Data Set
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
guardianship
Guardianship Intensity
Location Quotient
LQ
Offender Decision Making
Offender's Awareness Space
Offender’s Awareness Space
quantitative criminology
Repeat Pattern
Repeat Victimization
research methods in criminology
routine activity theory
Scatter Plot
simulation
simulation modelling
social science research methods
Street Robberies
Stylized Facts
Theory
Van Doormaal
Vice Versa

Product details

  • ISBN 9780367228521
  • Weight: 550g
  • Dimensions: 156 x 234mm
  • Publication Date: 30 Nov 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Agent-Based Modelling for Criminological Theory Testing and Development addresses the question whether and how we can use simulation methods in order to test criminological theories, and if they fail to be corroborated, how we can use simulation to mend and further develop theories.

It is by no means immediately obvious how results being observed in an artificial environment have any relevance for what is going on in the real world. By using the concept of a "stylized fact," the contributors bridge the gap between artificial and real world. With backgrounds in criminology or artificial intelligence (AI), these contributors present agent-based model studies that test aspects of various theories, including crime pattern theory, guardianship in action theory, near repeat theory, routine activity theory, and general deterrence theory. All six simulation models presented have been specially developed for the book. Contributors have specified the theory, identified stylized facts, developed an agent-based simulation model, let it run, and interpreted whether the chosen stylized fact is occurring in their model, and what we should conclude from congruence or incongruence between simulation and expectations based on the theory under scrutiny. The final chapter discusses what can be learnt from these six enterprises.

The book will be of great interest to scholars of criminology (in particular computational criminologists and theoretical criminologists) and AI (with an emphasis on AI for generative social processes), and more widely researchers in social science in general. It will also be valuable for master's courses in quantitative criminology.

Charlotte Gerritsen is an assistant professor at VU University Amsterdam, Department of Computer Science.

Henk Elffers is a senior researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) Amsterdam, and professor emeritus at the Department of Criminal Law and Criminology, VU University Amsterdam.