Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6240
Full metadata record
DC FieldValueLanguage
dc.creatorMcDermott, Drew V.-
dc.date2004-10-04T14:46:57Z-
dc.date2004-10-04T14:46:57Z-
dc.date1975-09-01-
dc.date.accessioned2013-10-09T02:44:25Z-
dc.date.available2013-10-09T02:44:25Z-
dc.date.issued2013-10-09-
dc.identifierAIM-339-
dc.identifierhttp://hdl.handle.net/1721.1/6240-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis paper describes the implementation of a typical data-base manaer for an A.I. language like Planner, Conniver, or QA4, and some proposed extensions for applications involving greater quantities of data than usual. The extensions are concerned with data bases involving several active and potentially active sub-data-bases, or "contexts". The major mechanisms discussed are the use of contexts as packets of data with free variables; and indexing data according to the contexts they appear in. The paper also defends the Planner approach to data representations against some more recent proposals.-
dc.format3803638 bytes-
dc.format2773891 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAIM-339-
dc.titleVery Large Planner-Type Data Bases-
Appears in Collections:MIT Items

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.