Please use this identifier to cite or link to this item:
https://lib.hpu.edu.vn/handle/123456789/32070
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Technology |
Files in This Item:
File | Description | Size | Format | |
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Knowledge-Representation-1181.pdf Restricted Access | 231.21 kB | Adobe PDF | ![]() View/Open Request a copy |
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