Abstract—Disaster management is a complex collaborative process involving several stakeholders from different domains and requiring preparation for designing action plans. Computer simulation of such collaborative process allows globally assessing the efficiency of such preparation. Studies have shown that multi-agents systems (MAS) are well suited for identifying an optimal strategy or potential issues in the context of one or several action plans. Thus, our approach relies on a MAS for simulating action plans. We consider combining such an approach with semantic Web technologies, in order to define the conceptual model of the simulation according to the preparation model of disaster management. The knowledge base is expressed through two different ontologies (semDM to model the preparation results and semMAS to model the simulation) that will be discussed in this paper. On top of these knowledge models, domain-specific constraints allow for checking consistency and logic rules are used to define the semMAS modeling according to semDM.
Index Terms—Disaster management, multi-agent simulation, semantic web technologies, modeling.
Claire Prudhomme and Frank Boochs are with the institute i3mainz of the University of Applied Sciences, Lucy-Hillebrand-Str. 2, 55128 Mainz, Germany (e-mail: claire.prudhomme@hs-mainz.de, frank.boochs@hs-mainz.de).
Christophe Cruz is with the Laboratoire d'Informatique de Bourgogne (LIB) - EA 7534, University of Bourgogne Franche-Comté, Bâtiment i3M rue Sully, 21000 Dijon, France (e-mail: christophe.cruz@ubfc.fr).
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Cite: Claire Prudhomme, Christophe Cruz, and Frank Boochs, "Semantic and Logic Modeling of Disaster Simulation for Multi-agent Systems," International Journal of Modeling and Optimization vol. 9, no. 4, pp. 198-204, 2019.
