6533b833fe1ef96bd129c120
RESEARCH PRODUCT
A Framework to Improve the Disaster Response Through a Knowledge-Based Multi-Agent System
Claire PrudhommeFrank BoochsAna RoxinChristophe Cruzsubject
Risk analysis (engineering)010201 computation theory & mathematicsComputer science[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systemsMulti-agent system0202 electrical engineering electronic engineering information engineering0102 computer and information sciences02 engineering and technology[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]Disaster response01 natural sciencesComputingMilieux_MISCELLANEOUSdescription
The disaster response still faces problems of collaboration due to lack of policies concerning the information exchange during the response. Moreover, plans are prepared to respond to a disaster, but drills to apply them are limited and do not allow to determine their efficiency and conflicts with other organizations. This paper presents a framework allowing for different organizations involving in the disaster response to assess their collaboration through its simulation using an explicit representation of their knowledge. This framework is based on a multi-agent system composed of three generic agent models to represent the organizational structure of disaster response. The decision-making about response actions is done through task decomposition and repartition. It is based reasoning on ontologies which provides an explicit trace of the response plans design and their execution. Such framework aims at identifying cooperation problems and testing strategies of information exchange to support the preparation of disaster response.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-07-01 |