Handbook of Knowledge Representation

Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/32284

Full metadata record

DC Field	Value	Language
dc.contributor.editor	Harmelen, Frank van	en_US
dc.contributor.editor	Lifschitz, Vladimir	en_US
dc.contributor.editor	Porter, Bruce	en_US
dc.date.accessioned	2019-03-19T08:33:22Z	-
dc.date.available	2019-03-19T08:33:22Z	-
dc.date.issued	2008	en_US
dc.identifier.isbn	978-0-444-52211-5	en_US
dc.identifier.other	HPU1161211	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/32284	-
dc.description.abstract	Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence. Make your computer smarter. Handle qualitative and uncertain information. Improve computational tractability to solve your problems easily.	en_US
dc.format.extent	1031 p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Elsevier Science	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Technology	en_US
dc.subject	Knowledge Representation	en_US
dc.title	Handbook of Knowledge Representation	en_US
dc.type	Book	en_US
dc.size	5,696 KB	en_US
dc.department	Technology	en_US
Appears in Collections:	Technology

Files in This Item:

File	Description	Size	Format
Handbook-of-Knowledge-Representation-1235.pdf Restricted Access		5.7 MB	Adobe PDF	View/Open Request a copy

DSpace JSPUI