Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS)

We propose to research, design, and demonstrate an innovative Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS). We propose a hybrid approach that combines ontology and process analysis methods with ontology-driven translation generation techniques to facilitate (i) robust simulation composability analysis and (ii) semantic modeling and simulation interoperability. The technical and pragmatic viability of the proposed approach will be validated in Phase I through focused military simulation model composition experiments. The Phase I effort will (i) establish FAMOS requirements, (ii) formulate analysis methods for composable modeling and simulation, (iii) design the FAMOS architecture, and (iv) configure and demonstrate a prototype FAMOS. The Phase II project will harden the software and demonstrate its benefits on a focused Air Force application leading to rapid technology transition and commercialization. Key innovations include (i) advanced ontology, process, and information model analysis methods to assess and facilitate semantic simulation model composability; (ii) novel methods to analyze simulation models at multiple levels of abstraction; (iii) innovative ontology-driven translation generation methods that facilitates semantic information integration; and (iv) novel, scalable component-based software design strategy that will facilitate rapid and cost effective integration and deployment of the solution into critical military applications.