Using Agent-Based Modeling to Search for Elusive Hiding Targets

<p>The SCUD hunt problem that emerged during Operation Desert Storm has become a source of great interest to major commands like Air Combat Command. One of the metrics used to measure the effectiveness of our operations in a SCUD hunt is time to detect and target. We use the agent-based System Effectiveness and Analysis Simulation (SEAS) to provide a simulation environment in which all the elements of a SCUD hunt mission can adequately be modeled. Our Blue Force agents are modeled as multirole fighters satellites and unmanned aerial vehicles (UAV) with various sensor capabilities. The Red Force agents are modeled as SCUD transporter/erector/launchers (TEL). Particular interest is paid to the effectiveness of various sensors modeled in a set of scenarios following an experimental design. Four measures of performance (MOP) were fashioned to provide insight into the contribution of sensors at work in a SCUD hunt. These MOPs were evaluated to show any statistically significant differences between various mixes of sensors.</p><p>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.</p><p>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.</p><p>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.</p>