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Classification: Absolutism vs Relativism

dc.contributor.authorWeist, Darren
dc.contributor.advisorFarmer, Michael
dc.date.accessioned2017-01-11T16:55:23Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2017-01-11T16:55:23Z
dc.date.issued2016
dc.date.submitted2016
dc.identifier.urihttps://hdl.handle.net/2027.42/135712
dc.description.abstractThe thesis is organized in the following approach. First, we will address some of the main issues for general artificial intelligence. Second, to enhance our understanding of the problems, this article will provide a general overview of two axiological theories presented from philosophy: absolutism and relativism. We will discuss some examples of how these concepts relate to machine learning algorithms. Third, we will argue the thesis statement that classification requires relativism to be useful. The goal of this paper is to show how relativism can be used as a strategy to help solve some of the issues for general artificial intelligence. The concept of relativity can be useful for: (1) axiology, (2) defining things, and (3) memory. Then, the paper will conclude with future and final thoughts on the subject matter.en_US
dc.language.isoen_USen_US
dc.subjectAbsolutismen_US
dc.subjectartificial intelligenceen_US
dc.subjectGeneral Artificial Intelligenceen_US
dc.subjectmachine learningen_US
dc.subjectphilosophyen_US
dc.subjectRelativismen_US
dc.subject.otherArtificial intelligenceen_US
dc.subject.otherComputer scienceen_US
dc.subject.otherPhilosophyen_US
dc.titleClassification: Absolutism vs Relativismen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineComputer Science and Information Systemsen_US
dc.description.thesisdegreegrantorUniversity of Michigan-Flinten_US
dc.contributor.committeememberWandmacher, Stevens
dc.identifier.uniqname63300506en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/135712/1/Weist2016.pdf
dc.description.filedescriptionDescription of Weist2016.pdf : Main article
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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