000 | 03627nam a22005055i 4500 | ||
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001 | 978-3-540-48453-0 | ||
003 | DE-He213 | ||
005 | 20160624102034.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1994 gw | s |||| 0|eng d | ||
020 |
_a9783540484530 _9978-3-540-48453-0 |
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024 | 7 |
_a10.1007/3-540-58107-3 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
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_a006.3 _223 |
245 | 1 | 0 |
_aFoundations of Knowledge Representation and Reasoning _h[electronic resource] / _cedited by Gerhard Lakemeyer, Bernhard Nebel. |
260 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1994. |
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264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1994. |
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300 |
_aIX, 363 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, _x0302-9743 ; _v810 |
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505 | 0 | _aFoundations of knowledge representation and reasoning -- Collective entities and relations in concept languages -- Computing extensions of terminological default theories -- A formalization of interval-based temporal subsumption in first order logic -- Normative, subjunctive and autoepistemic defaults -- Abductive reasoning with abstraction axioms -- Queries, rules and definitions as epistemic sentences in concept languages -- The power of beliefs or translating default logic into standard autoepistemic logic -- Learning an optimally accurate representation system -- Default reasoning via negation as failure -- Weak autoepistemic reasoning and well-founded semantics -- Forming concepts for fast inference -- A common-sense theory of time -- Reasoning with analogical representations -- Asking about possibilities — Revision and update semantics for subjunctive queries Extended report -- On the impact of stratification on the complexity of nonmonotonic reasoning -- Logics of mental attitudes in AI -- Hyperrational conditionals -- Revision by expansion in logic programs. | |
520 | _aThis collection of thoroughly refereed papers presents state-of-the-art research results by well-known researchers on the foundations of knowledge representation and reasoning. In addition, there are two surveys, one by the volume editors intended as a guide to this book and another by Shoham and Cousins on mental attitudes. In total, the volume provides a well-organized report on current research in knowledge representation, which is one of the central subfields of AI. Except the surveys, the papers grew out of a workshop on Theoretical Foundations of Knowledge Representation and Reasoning, held in conjunction with the 10th European Conference on Artificial Intelligence (ECAI-92) in Vienna in August 1992. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aMathematical Logic and Formal Languages. |
700 | 1 |
_aLakemeyer, Gerhard. _eeditor. |
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700 | 1 |
_aNebel, Bernhard. _eeditor. |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540581079 |
786 | _dSpringer | ||
830 | 0 |
_aLecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, _x0302-9743 ; _v810 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/3-540-58107-3 |
942 |
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999 |
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