000 | 03083nam a2200517 i 4500 | ||
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001 | 6267409 | ||
003 | IEEE | ||
005 | 20220712204656.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2001 mau ob 001 eng d | ||
020 |
_a9780262278232 _qebook |
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020 |
_z0262278235 _qelectronic |
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020 |
_z9780262122320 _qprint |
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035 | _a(CaBNVSL)mat06267409 | ||
035 | _a(IDAMS)0b000064818b43f5 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aQ387 _b.L48 2000eb |
|
082 | 0 |
_a006.3/32 _221 |
|
082 | 0 | 4 |
_a006.3/32 _222 |
100 | 1 |
_aLevesque, Hector J., _d1951- _922650 |
|
245 | 1 | 4 |
_aThe logic of knowledge bases / _cHector J. Levesque and Gerhard Lakemeyer. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2000 |
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264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2001] |
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300 | _a1 PDF (xviii, 282 pages). | ||
336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _aThe idea of knowledge bases lies at the heart of symbolic, or "traditional," artificial intelligence. A knowledge-based system decides how to act by running formal reasoning procedures over a body of explicitly represented knowledge--a knowledge base. The system is not programmed for specific tasks; rather, it is told what it needs to know and expected to infer the rest.This book is about the logic of such knowledge bases. It describes in detail the relationship between symbolic representations of knowledge and abstract states of knowledge, exploring along the way the foundations of knowledge, knowledge bases, knowledge-based systems, and knowledge representation and reasoning. Assuming some familiarity with first-order predicate logic, the book offers a new mathematical model of knowledge that is general and expressive yet more workable in practice than previous models. The book presents a style of semantic argument and formal analysis that would be cumbersome or completely impractical with other approaches. It also shows how to treat a knowledge base as an abstract data type, completely specified in an abstract way by the knowledge-level operations defined over it. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aTitle from title screen. | ||
588 | _aDescription based on PDF viewed 12/23/2015. | ||
650 | 0 |
_aKnowledge representation (Information theory) _922651 |
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650 | 0 |
_aExpert systems (Computer science) _93392 |
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650 | 0 |
_aLogic, Symbolic and mathematical. _93521 |
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655 | 0 |
_aElectronic books. _93294 |
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700 | 1 |
_aLakemeyer, Gerhard. _922652 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _922653 |
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710 | 2 |
_aMIT Press, _epublisher. _922654 |
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776 | 0 | 8 |
_iPrint version _z9780262122320 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267409 |
942 | _cEBK | ||
999 |
_c73063 _d73063 |