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A Computational View of the Skill of Juggling

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dc.creator Austin, Howard
dc.date 2004-10-04T14:46:44Z
dc.date 2004-10-04T14:46:44Z
dc.date 1974-12-01
dc.date.accessioned 2013-10-09T02:44:19Z
dc.date.available 2013-10-09T02:44:19Z
dc.date.issued 2013-10-09
dc.identifier AIM-330
dc.identifier http://hdl.handle.net/1721.1/6231
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description This 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.
dc.format 3630686 bytes
dc.format 2733397 bytes
dc.format application/postscript
dc.format application/pdf
dc.language en_US
dc.relation AIM-330
dc.title A Computational View of the Skill of Juggling


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