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dc.contributor.authorAustin, Howarden_US
dc.date.accessioned2004-10-04T14:46:44Z
dc.date.available2004-10-04T14:46:44Z
dc.date.issued1974-12-01en_US
dc.identifier.otherAIM-330en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6231
dc.description.abstractThis research has as its basic premise the belief that physical and mental skills are highly similar, enough so in fact that computation paradigms such as the ones used in Artificial Intelligence research about predominantly mental skills can be usefully extended to include physical skills. This thesis is pursued experimentally by categorization of "juggling bugs" via detailed video observations. A descriptive language for juggling movements is developed and a taxonomy of bugs is presented. The remainder of the paper is concerned with an empirical determination of the characteristics of an ultimate theory of juggling movements. The data presented is relevant to the computational issues of control structure, naming, addressing and subprocedurization.en_US
dc.format.extent3630686 bytes
dc.format.extent2733397 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-330en_US
dc.titleA Computational View of the Skill of Jugglingen_US


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