NUDGE, A Knowledge-Based Scheduling Program

dc.creator	Goldstein, Ira P.
dc.creator	Roberts, R. Bruce
dc.date	2004-10-01T20:34:39Z
dc.date	2004-10-01T20:34:39Z
dc.date	1977-02-01
dc.date.accessioned	2013-10-09T02:41:14Z
dc.date.available	2013-10-09T02:41:14Z
dc.date.issued	2013-10-09
dc.identifier	AIM-405
dc.identifier	http://hdl.handle.net/1721.1/5771
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	Traditional scheduling algorithms (using the techniques of PERT charts, decision analysis or operations research) require well-defined quantitative, complete sets of constraints. They are insufficient for scheduling situations where the problem description is ill-defined, involving incomplete, possibly inconsistent and generally qualitative constraints. The NUDGE program uses an extensive knowledge base to debug scheduling requests by supplying missing details and resolving minor inconsistencies. The result is that an informal request is converted to a complete description suitable for a traditional scheduler.
dc.format	23 p.
dc.format	1889422 bytes
dc.format	1477021 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-405
dc.title	NUDGE, A Knowledge-Based Scheduling Program

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