Aïdin Sumic, Emna Amdouni, Thierry Vidal, & Hedi Karray. (2022). Towards Flexibility Sharing in Multi-agent Dynamic Planning: The Case of the Health Crisis. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 274–284). Tarbes, France.
Abstract: Planning problems in a crisis context are a highly uncertain environment where health facilities must cooperate in providing health services to their patients. We focus on the health crisis in France due to the COVID19 pandemic. In fact, the lack of appropriate scheduling tools, resources, and communication leads hospitals to be submerged by infected patients and forced to transfer them to other hospitals. In this work we aim to provide a global solution to such planning problems to improve the current French health system. We introduce a cooperative approach called OPPIC (Operational Planning Platform for Inter-healthcare Coordination). OPPIC is based on a decentralized system, where health facilities plan is dynamic, flexible, robust to uncertainty, and respond to goals and optimization criteria. This paper proposed a first planning model to OPPIC and provided a first way of negotiation between health facilities based on their plan’s local and global flexibility.
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José Miguel Castillo. (2011). An agent-based approach to envision the future. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The need to envision the future is not new; it has existed since the beginning of human-kind. What it is new is the applicable technology that is available in a specific period of time. It is vital to research in the field of methods, techniques and tools that allow us to foresee the future. Although this problem is common to any area, an urgent solution is required to those with critical social repercussions. It is not usual to find a critical social system which evolves according to predictable guidelines or tendencies. This paper presents a solution to model the opinions of an experts group with the aim of predicting possible future scenarios. This paper includes the description of a specific process to elaborate the information elicited from the experts by using fuzzy logic and the development of multi-agent systems (MAS) to automate the creation of such scenarios.
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Cendrella Chahine, Thierry Vidal, Mohamad El Falou, & François Pérès. (2022). Multi-Agent Dynamic Planning Architectures for Crisis Rescue Plans. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 243–255). Tarbes, France.
Abstract: We are interested in rescue management in crises such as in terrorist attacks. Today, there are emergency plans that take into account all the stakeholders involved in a crisis depending on the event type, magnitude and place. Unfortunately, they do not anticipate the evolution of the crisis situation such as traffic and hospital overcrowding. In addition, decisions are taken after the information has been passed from the operational level to higher levels. This work focuses on the operational level of the emergency plan. What will happen if the actors at this level, can make certain decisions without escalating the information to higher levels? To answer this question, a multi-agent dynamic planning approach is proposed and it will be tested in two different architectures in order to see how much autonomy can be given to an agent and how they coordinate to save the victims.
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Lyuba Mancheva, Adam Carole, & Dugdale Julie. (2019). Multi-agent geospatial simulation of human interactions and behaviour in bushfires. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Understanding human behaviour and interactions in risk situations may help to improve crisis management
strategies in order to avoid the worst scenarios. In this paper we present a geospatial agent-based model and
simulation of human behaviour in bushfires. We have modelled the social interactions between different actors
involved in bushfires such as firefighter, police, emergency centre managers and civilians. We use the Belief,
Desire and Intention (BDI) architecture to model realistic human behaviour, and the FIPA-ACL standard to
model the communications. We use geospatial data to represent the environment in a realistic way. We show
how the model has been implemented and how we have unified the communications model and the BDI
architecture. Finally, we compare the processing time of two implementations of our model representing a 2D
simple and a 3D GIS environment.
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Miriam Klein, Eric Rigaud, Marcus Wiens, Anouck Adrot, Frank Fiedrich, Nour Kanaan, et al. (2018). A Multi-Agent System for Studying Cross-Border Disaster Resilience. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 135–144). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Resilience to disasters depends on measures taken before, during and after the occurrence of adverse events. These measures require interactions between people belonging to different organizations (public, private, non-profit) and citizens in normal and stressful situations. The efficiency of resilience measures results from the collective interaction of individuals, groups of individuals, and organizations, as well as the situational characteristics of the decision environment. The aim of the French-German research project INCA is to develop a decision support framework for improving cross-border area resilience to disasters. This project comprises the design and the implementation of a multi-agent system with the objective to study the behavioral and organizational implications of cross-border cooperation for crisis management and disaster resilience. The analyzed measures focus on citizens who require medical support and the integration of volunteers into the crisis management procedure. This paper outlines the potentials of the multi-agent system and provides first implementation insights.
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