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Author (up) Cendrella Chahine; Thierry Vidal; Mohamad El Falou; François Pérès pdf  isbn
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  Title Multi-Agent Dynamic Planning Architectures for Crisis Rescue Plans Type Conference Article
  Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022  
  Volume Issue Pages 243-255  
  Keywords Multi-agent systems; planning and scheduling; uncertainty; coordination  
  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.  
  Address ULF Liban/LGP-ENIT; LGP-ENIT; ULF Tripoli; LGP-ENIT  
  Corporate Author Thesis  
  Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium  
  Track AI and Intelligent Systems for Crises and Risks Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2414  
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