A Computational View of the Skill of Juggling

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6231

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DC Field	Value	Language
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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