Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/32070
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBrachman, Ronalden_US
dc.contributor.authorLevesque, Hectoren_US
dc.date.accessioned2019-03-06T08:05:57Z-
dc.date.available2019-03-06T08:05:57Z-
dc.date.issued2004en_US
dc.identifier.isbn9781558609327en_US
dc.identifier.isbn1558609326en_US
dc.identifier.otherHPU1161158en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32070-
dc.description.abstractKnowledge representation (see KNOWLEDGE REPRESENTATION, PSYCHOLOGY of. Representation, Philosophical Issues About) is a subarea of Artificial Intelligence (see Artificial Intelligence, Philosophy of) concerned with understanding, designing, and implementing ways of representing information in computers so that programs can use this information• to derive information that is implied by it, to converse with people in natural languages, to plan future activities, to solve problems in areas that normally require human expertise.en_US
dc.format.extent17 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherMorgan Kaufmannen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectData Structuresen_US
dc.subjectTechnologyen_US
dc.titleKnowledge Representationen_US
dc.typeBooken_US
dc.size232 KBen_US
dc.departmentTechnologyen_US
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
Knowledge-Representation-1181.pdf
  Restricted Access
231.21 kBAdobe PDFThumbnail
View/Open Request a copy


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