A self-organizing multi-agent system for adaptive continuous unsupervised learning in complex uncertain environments

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dc.contributor.advisorAlhajj, Reda
dc.contributor.authorKiselev, Igor
dc.date.accessioned2017-12-18T21:44:38Z
dc.date.available2017-12-18T21:44:38Z
dc.date.issued2008
dc.descriptionBibliography: p. 89-92en
dc.descriptionsome pager are in colouren
dc.format.extentxi, 92 leaves : ill. ; 30 cm.en
dc.identifier.citationKiselev, I. (2008). A self-organizing multi-agent system for adaptive continuous unsupervised learning in complex uncertain environments (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/2300en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/2300
dc.identifier.urihttp://hdl.handle.net/1880/103301
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleA self-organizing multi-agent system for adaptive continuous unsupervised learning in complex uncertain environments
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1800 520708963
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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