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dc.contributor.advisorWhitman Richards.en_US
dc.contributor.authorPickard, Galenen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2007-04-03T17:09:27Z
dc.date.available2007-04-03T17:09:27Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/37080
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.en_US
dc.descriptionIncludes bibliographical references (leaf 35).en_US
dc.description.abstractIn 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.en_US
dc.description.statementofresponsibilitybu Galen Pickard.en_US
dc.format.extent35 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleThe use of domain knowledge in optimal information aggregationen_US
dc.title.alternativeuse of knowledge structures in optimal information aggregationen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc83288053en_US


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