Semantic and Logic Modeling of Disaster Simulation for Multi-agent Systems
Claire Prudhomme, Christophe Cruz, Frank Boochs · International Journal of Modeling and Optimization · 2019
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-agent 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 simulation model 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.