<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T00:22:24Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/124267" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/124267</identifier><datestamp>2026-06-06T00:55:48Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Eric Klopfer.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wetzstein, Malcolm X.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-03-24T15:37:09Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/124267</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1145277670</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 66).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">StarLogo Nova is an agent-based simulation and game programming application geared towards classroom learning. In many cases, StarLogo Nova can be an effective computational modeling tool, allowing students to apply their knowledge and gain a greater understanding of scientific concepts. However, there are many computational models that are difficult to implement in StarLogo Nova or cannot be implemented. This can be partly attributed to the fact that agents are the only programmable and customizable entity in StarLogo Nova and are limited to interactions with other agents. We expand the set of computational models possible within StarLogo Nova by adding new features and capabilities; namely an editable and programmable 3D environment for agents to interact with. We add the capability for users to program real-time interactions between agents and their environment. A dynamic and custom environment opens up the possibility for new computational models and simplifies the implementation of others.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Malcolm X. Wetzstein.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">68 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Custom and interactive environments in StarLogo Nova for computational modeling</dim:field>
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   	&lt;Title>Custom and interactive environments in StarLogo Nova for computational modeling&lt;/Title>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>StarLogo Nova is an agent-based simulation and game programming application geared towards classroom learning. In many cases, StarLogo Nova can be an effective computational modeling tool, allowing students to apply their knowledge and gain a greater understanding of scientific concepts. However, there are many computational models that are difficult to implement in StarLogo Nova or cannot be implemented. This can be partly attributed to the fact that agents are the only programmable and customizable entity in StarLogo Nova and are limited to interactions with other agents. We expand the set of computational models possible within StarLogo Nova by adding new features and capabilities; namely an editable and programmable 3D environment for agents to interact with. We add the capability for users to program real-time interactions between agents and their environment. A dynamic and custom environment opens up the possibility for new computational models and simplifies the implementation of others.&lt;/Abstract>
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