Integrating Stochastic and Simulation-Based Models Into C3I Automated PlanningTasks

摘要

This project focused on research involving a simulation-based planningmethodology and toolkit to help in real-time planning and decision making. A new methodology called OOPM (Object Oriented Physical Modeling) was developed. Development of the MOOSE (Multimodeling Object Oriented Simulation Environment) system, based on the OOPM methodology, has also been underway including modeling windows for finite state automata, differential equations, and functional models. The object-oriented multimodel framework of MOOSE is composed of three parts consisting of a graphical user interface, BLOCKS models based on the BLOCKS modeling language, and the SimPack Toolkit. MOOSE represents a software prototype for constructing simulation-based planning scenarios. The current scenario involves an interdiction mission. The goal is to achieve the mission goals with the fewest casualties. The best plan to achieve this goal is determined with a combination of a 'qualitative' rule-based model and lower level 'quantitative' block-structured models. The MOOSE architecture permits a model abstraction capability to allow users to realize time constraints on the simulation-based planning by simulating models at different levels. The use of an iterative deepening approach to simulation is being investigated.