Agent-Based Modelling for Criminological Theory Testing and Development

Agent-Based Modelling for Criminological Theory Testing and Development explores the use of simulation methods to test criminological theories and further develop them. Contributors with backgrounds in criminology and AI present six agent-based model studies that test aspects of various theories, bridging the gap between artificial and real-world environments. The book is of interest to scholars of criminology and AI, as well as social science researchers, and will be valuable for master's courses in quantitative criminology.

Format: Paperback / softback
Length: 210 pages
Publication date: 30 May 2022
Publisher: Taylor & Francis Ltd

Agent-Based Modelling for Criminological Theory Testing and Development delves into the crucial question of whether and how simulation methods can be employed to test criminological theories. Moreover, if these theories fail to be corroborated, the book explores how simulation can be utilized to refine and enhance these theories. It is worth noting that it is not immediately evident how the outcomes observed in an artificial environment can have any bearing on the real world. To bridge this gap, the contributors introduce the concept of a stylized fact, which helps establish a connection between the artificial and real worlds.

The contributors, with backgrounds in criminology or artificial intelligence (AI), present comprehensive agent-based model studies that examine various aspects of diverse theories, including crime pattern theory, guardianship in action theory, near repeat theory, routine activity theory, and general deterrence theory. Each of the six simulation models presented in the book has been meticulously developed specifically for this publication. Contributors have outlined the relevant theory, identified stylized facts, constructed an agent-based simulation model, allowed it to run, and analyzed whether the chosen stylized fact occurs in their model. Furthermore, they have interpreted the outcomes, considering whether they align with or deviate from expectations based on the theory under scrutiny.

The final chapter of the book explores the valuable insights that can be drawn from these six endeavors. The book holds immense appeal to scholars in criminology, particularly computational criminologists and theoretical criminologists, as well as AI enthusiasts, particularly those focused on AI for generative social processes. Furthermore, it will be of great value to researchers across social science disciplines in general. Additionally, the book will be an invaluable resource for master's courses in quantitative criminology.

Weight: 326g
Dimension: 154 x 234 x 18 (mm)
ISBN-13: 9780367524074