Simulations Technologies in the Mission Operational Environment

Abstract

This paper proposes a methodotogy for applying sim ulation technology to the monitoring and control of operations, focusing on the use of intelligent agents. These agents monitor the course of the real operation and compare it with the near-real-time simulation of that operation. When these agents detect significant differences between the planned operation and the real operation, they explore the discrepancies to determine the impact on the desired outcome of the operation. These agents can launch additional simulations or other tools to make this determination. In cases in which the success of the plan is threatened, the agents advise the decision maker. The contributions of this research are (1) to help identify the requirements for a simulation designed for use during operations and (2) the development of a methodology for using sim ulation, along with rational agents, to compare the real, ongoing operation with the planned operation and make recommendations when appropriate. While several training simulations have been developed, there are currently no tools that provide this simula tion-based, agent-assisted operation monitoring/ analysis capability to decision makers.

A Simulation-optimization Approach to Air Warfare Planning

“…Surdu and Pooch [11] describe an agent-based simulation approach to real-time military planning. In their framework of "operationally-focused" simulations (OpSim) they define Operations Monitors (agents) whose function is to continually compare the internal simulation models with the real world operations.…”

Simulation of Tactical Communications Systems by Inferring Detailed Data from the Joint Theater-Level Computer-Aided Exercises

“…CMS systems [7][8][9] have been developed to provide computer aid for computing the possible outcomes of the courses of actions taken during the military CAXs. In CAXs, the staff officers in the military headquarters and the unit leaders are trained and evaluated by using some realistic or generic scenarios.…”

“…In equations (9) and (10), σ δ and σ ϕ are also random variables. The distribution and mean values for these variables are passed to the system as parameters according to the user scenario.…”

A network-centric terrain database regeneration architecture

“…It is also expected that today’s synthetic environments will need to evolve so they can be used for both operational command and control applications and for training applications. 21,22,24 To support this concept, networks and distributed processing anticipate continuing to grow and develop into a network-centric architecture that is able to acquire and process a wide variety of information. In terms of environmental representation, given the wide diversity of Future Combat System applications and developers, a combination of TDB representations can be expected.…”

“…Consistent with this vision, synthetic environment updates will be generated from satellite pictures, data from manned ground vehicles, unmanned ground vehicles, and unmanned air vehicles, and battle field sensors, as well as other sources of intelligence and future platform sensors. 21,22,24 In this view, battle space information will most likely be stored in common command and control data models and provide updates to runtime TDB representations on operational platforms across the battlefield.…”