Title: A compendious review of agent-based disaster management
Authors: Sarah Ibri
Addresses: Computer Science Department, LIA Research Laboratory, Hassiba Benbouali University of Chlef, Chlef, 02180, Algeria
Abstract: Ongoing research has shown the effectiveness of agent technology in modelling and simulating disaster management systems and dealing with related activities such as risk assessment, victim search and rescue, evacuation operations and many other disaster management processes. In this paper we provide a comprehensive review of agent-based disaster management research in view of understanding the benefits and potential opportunities of applying agent modelling and simulation to support managers at different disaster phases. The review has revealed that the potential contribution of agent technology to disaster management lies in its inherent capacity to cope with issues such as human behaviour simulation, dynamic and distributed decision making under uncertainties, cooperative planning and optimisation, learning and prediction as well as other associated problems. The review helps readers to identify current challenges related to agent-based disaster management that are considered worthy for future research and publication.
Keywords: ABS; agent-based models; MAS; multi-agent systems; agent-based simulation; disaster management; risk mitigation; evacuation; SAR; search and rescue.
International Journal of Emergency Management, 2023 Vol.18 No.4, pp.335 - 364
Accepted: 06 Apr 2024
Published online: 12 Sep 2024 *