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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/21902
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dc.contributor.authorNavarro, Daniel Josephen
dc.date.issued2002en
dc.identifier.urihttp://hdl.handle.net/2440/21902-
dc.descriptionBibliography: p. 209-233.en
dc.descriptionxi, 233 p. : ill. (some col.) ; 29 cm.en
dc.description.abstractOver the last 50 years, psychologists have developed a range of frameworks for similarity modelling, along with a large number of numerical techniques for extracting mental representations from empirical data. This thesis is concerned with the psychological theories used to account for similarity judgements, as well as the mathematical and statistical issues that surround the numerical problem of finding appropriate representations. It discusses, evaluates, and further develops three widely-adopted approaches to similarity modelling: spatial, featural and tree representation.en
dc.format.extent121034 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.subject.lcshSimilarity (Psychology)en
dc.subject.lcshCognition Mathematical models.en
dc.titleRepresenting stimulus similarity / Daniel J. Navarro.en
dc.typeThesisen
dc.contributor.schoolDept. of Psychologyen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals.en
dc.description.dissertationThesis (Ph.D.)--University of Adelaide, Dept. of Psychology, 2003?en
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