Autonomous Decision-Making Enhancing Natural Disaster Management through Open World Machine Learning: A Systematic Review

Autonomous Decision-Making Enhancing Natural Disaster Management through Open World Machine Learning: A Systematic Review

Abstract Natural disasters can be fatal and necessitate critical thinking in decision-making processes; thus, simulations of multiple scenarios must be evaluated to prepare for such imminent events. An Open World Machine Learning (OWML) framework has been proposed as a focal tool to improve decision...

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Bibliographic Details
Main Authors: Nikitas Gerolimos, Vasileios Alevizos, Sabrina Edralin, Clark Xu, Georgios Priniotakis, George A. Papakostas, Zongliang Yue
Format: Article
Language:English
Published: Springer Nature 2025-04-01
Series:Human-Centric Intelligent Systems
Subjects:
Autonomous decision-making
Natural disaster management
Climate change
Open world machine learning
Artificial intelligence
Natural catastrophes
Online Access:https://doi.org/10.1007/s44230-025-00098-2
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https://doi.org/10.1007/s44230-025-00098-2

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