<?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>2026-09-19T10:58:10Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/37080" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/37080</identifier><datestamp>2022-01-13T07:54:29Z</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">Whitman Richards.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Pickard, Galen</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2007-04-03T17:09:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2007-04-03T17:09:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2006</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2006</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/37080</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">83288053</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (leaf 35).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, I present some novel results pertaining to the relationship between two popular and interesting information aggregation methods: the Condorcet and Borda tallies. I present numerical results showing how the much simpler Borda tally can be used to approximate the outcome of the Condorcet tally with high probability in certain circumstances, a proof that there exist classes of problems for which the two tallies can never agree, and an extension of these results to small-world graphs, which have been of great interest recently due to their practical applicability to many complex problems.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">bu Galen Pickard.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">35 leaves</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">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri">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">The use of domain knowledge in optimal information aggregation</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">use of knowledge structures in optimal information aggregation</dim:field>
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   	&lt;Title>The use of domain knowledge in optimal information aggregation&lt;/Title>
   	&lt;Subtitle>use of knowledge structures in optimal information aggregation&lt;/Subtitle>
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   	&lt;PublicationDate>2006&lt;/PublicationDate>
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   	&lt;Abstract>In this thesis, I present some novel results pertaining to the relationship between two popular and interesting information aggregation methods: the Condorcet and Borda tallies. I present numerical results showing how the much simpler Borda tally can be used to approximate the outcome of the Condorcet tally with high probability in certain circumstances, a proof that there exist classes of problems for which the two tallies can never agree, and an extension of these results to small-world graphs, which have been of great interest recently due to their practical applicability to many complex problems.&lt;/Abstract>
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