Artificial Intelligence Applied to the Prediction of Complex Systems: A Case Study in Urban Criminology in Angola

Authors

Keywords:

Artificial Intelligence, Urban Criminology, Criminological Prediction, Angola Complex Systems.

Abstract

This article examines the application of artificial intelligence (AI) in the prediction and analysis of complex systems in the context of urban criminology in Angola. Through an interdisciplinary approach that combines the foundations of critical criminology and advanced computational methods, it explores how predictive models can be used to understand and anticipate patterns of urban crime. The research highlights the transformative potential of AI to inform public security policies and prevent crime, while respecting ethical principles and fundamental rights.

Author Biographies

Juan Rubén Fundora, Polytechnic Institute of Science and Technology

Master's Degree. Coordinator of the courses of Computer Engineering and Information Systems and Network and Telecommunications Engineering.

Juan Ruben Herrera Masó, Polytechnic Institute of Science and Technology

Master in Science and Technology, Doctor in Legal Sciences. Coordinator of the Criminal Sciences course at INSUTEC.

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Published

2025-06-30

How to Cite

Fundora, R. J. ., & Herrera Masó, J. R. . . (2025). Artificial Intelligence Applied to the Prediction of Complex Systems: A Case Study in Urban Criminology in Angola. FARMHOUSE Science & Technology, 4(06), 19. Retrieved from https://revista.insutec.ao/index.php/fct/article/view/137

Issue

Vol. 4 No. 06 (2025): Multidisciplinary Scientific Journal "FARMHOUSE Science & Technology" "From curiosity to discovery: science as the key to progress"

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Artigos

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License

Copyright (c) 2025 Rouget Jesús Fundora Ruano, Juan Ruben Herrera Masó

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