BDA Enhancement Methodology Using Situational Parameter Adjustments

By Michael V. Carras

In the context of close ground combat, the perception of Battle Damage Assessment (BDA) is closely linked with a soldier's engagement decisions and has significant effects on the battlefield. Perceived BDA is also one of the most complex and uncertain processes facing the soldier in live combat. As a result, the modeling and simulation community has yet to adequately model the perceived BDA process in combat models. This research effort examines the BDA process from a perception standpoint and proposes a methodology to collect the pertinent data and model this perception in the Army's current force-on-force model, CASTFOREM. A subject matter expert survey design and a method to model the BDA process as a Discrete Time Markov Chain are proposed. Bayesian inference is used to update probability distributions at each time step considering the situational parameters available to the soldier at the time of an assessment. Comparisons between the known simulation distributions and those developed from simulated survey responses suggest an adequate number of subject matter experts to be polled.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

• Format: Paperback
• Language: English
• ISBN: 1288318383
• ISBN13: 9781288318384
• Release Date: November 2012
• Publisher: Biblioscholar
• Length: 132 Pages
• Weight: 0.55 lbs.
• Dimensions: 0.3" x 7.4" x 9.7"