An Interactive Model-Driven Simulation Approach for Dynamic Behavior Analysis in Armed Conflicts

Abstract

As system dynamic behaviors are difficult to capture and analyze in model-based systems engineering, executable architectures, and simulation methods are widely studied to understand the behaviors that result from interactions amongst system components. However, most current studies often strive for analyzing independently specific aspects of architecture rather than capturing simultaneously the structural, behavioral, and performance related features, leading to failures of understanding the whole system from a global perspective. Accordingly, an interactive model-driven simulation that includes meta-model mapping and collaborative engine capabilities specific to DoDAF, Rhapsody, and STK simulations is first proposed to integrate the full advantages of different analytical tools. Then, a synergic engine is developed to provide synchronized control between time-driven and event-driven execution through the dynamic analysis process. Two executable techniques communicate with each other throughout the entire execution cycle to provide complementary necessary process information. The events occurred in the STK simulation scenario are used as the trigger of the executable state machine model that describes only the logical procedure of system behaviors without time- and space-related constraints. Last, an illustrative example of the Russian–Turkish Plane Incident is carried out to demonstrate the feasibility of the foregoing approach.