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  <title><![CDATA[MS proposal by Ian Marks]]></title>
  <body><![CDATA[<p><strong>Ian Marks</strong><br />
<em>(Advisor: Prof. Dimitri Mavris]</em>&nbsp;</p>

<p><em>will propose a master&rsquo;s thesis entitled,&nbsp;</em></p>

<p><strong>(MADTEAM) Multi Agent Digital Twin Enabled Activity Management&nbsp;</strong></p>

<p><em>On&nbsp;</em></p>

<p><strong>Thursday, December 16 at 12:00 p.m. &ndash; 2:00 p.m.</strong></p>

<p><em>In </em></p>

<p><strong>The Collaborative Visualization Environment (CoVE)</strong></p>

<p><strong>Weber Space Science and Technology Building (SST II)</strong></p>

<p><strong><em>On the campus of the Georgia Institute of Technology</em></strong></p>

<p><em>And</em><br />
<strong>Meeting URL: <a href="https://bluejeans.com/385661635/9266" target="_BLANK+">https://bluejeans.com/385661635/9266</a></strong></p>

<p><strong>Meeting ID: 385 661 635&nbsp;&nbsp;&nbsp; Participant Passcode: 9266</strong></p>

<p>&nbsp;</p>

<p><strong>Abstract</strong><br />
Dynamic Decision Making (DDM) is making a series of interdependent decisions to achieve some overall goal while adapting to the results of previous decisions alongside environmental changes. Examples vary from individual predictive maintenance to multi agent tasking. When making dynamic decisions, the goal is to minimize uncertainty for future actions by predicting consequences for both the individual and the group. In a squadron with vehicles of the same type, their performance is not exactly the same between them, such as fatigue rate and structural health. Infusing individual performance capabilities and their uncertainties can overwhelm the decision maker. One approach to improve the decision making process for multiple agents is through the use of Digital Twins. While a digital twin is a virtual representation of a connected physical system, the aspects of computational and physical requirements impact the overall capability and utility of their infusion. Furthermore, the aspects of fidelity, runtime, latency, and proximity (due to the physical requirements) need to be assessed to determine the value within multi agent DDM. The proposal seeks to evaluate the infusion of Digital Twins in a multi agent DDM architecture, the challenges with the infusion, and a comparison to historically deterministic decision making processes for a relevant aerospace scenario to trade overall mission effectiveness&nbsp;</p>

<p><strong>Committee&nbsp;</strong></p>

<ul>
	<li>Prof. Dimitri Mavris &ndash; School of Aerospace Engineering (advisor) &nbsp;</li>
	<li>Prof. Olivia Pinon-Fischer&ndash; School of Aerospace Engineering&nbsp;</li>
	<li>Mr. Noah Fehrenbacher &ndash; Lockheed Martin Space&nbsp;</li>
</ul>

<p>&nbsp;</p>

<p>&nbsp;<strong><em>Adrienne Durham, M.Ed.</em></strong><br />
Academic Program Manager<br />
Aerospace Systems Design Laboratory</p>

<p>Daniel Guggenheim School of Aerospace Engineering</p>

<p>Georgia Institute of Technology<br />
<br />
Office: 404.385.3109<br />
Fax: 404.894.6596</p>

<p>&nbsp;</p>

<p><a href="https://gatech.bluejeans.com/4012250101">https://gatech.bluejeans.com/4012250101</a></p>

<p>BlueJeans meetings available, by appointment; please email to schedule.</p>

<p>&nbsp;</p>
]]></body>
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