Knowledge Representation

dc.contributor.author	Brachman, Ronald	en_US
dc.contributor.author	Levesque, Hector	en_US
dc.date.accessioned	2019-03-06T08:05:57Z
dc.date.available	2019-03-06T08:05:57Z
dc.date.issued	2004	en_US
dc.identifier.isbn	9781558609327	en_US
dc.identifier.isbn	1558609326	en_US
dc.identifier.other	HPU1161158	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/32070
dc.description.abstract	Knowledge 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.extent	17 p.	en_US
dc.format.mimetype	application/pdf
dc.language.iso	en	en_US
dc.publisher	Morgan Kaufmann	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	Data Structures	en_US
dc.subject	Technology	en_US
dc.title	Knowledge Representation	en_US
dc.type	Book	en_US
dc.size	232 KB	en_US
dc.department	Technology	en_US