| Nebel, B. (1990) Reasoning and Revision in Hybrid Representation Systems, New York: Springer. |
....of these two aspects. In particular, starting with [14] the research on the computational complexity of the reasoning tasks associated with description logics has shown that in order to ensure decidability and or efficiency of reasoning in all cases, one must renounce some of the expressive power [76, 81, 83, 82, 47, 48, 49]. These results have led to a debate on the trade off between expressive power of representation formalisms and worst case efficiency of the associated reasoning tasks. Recently, this issue has been one of the main themes in the area of description logics, and has led to at least four different ....
....contains the details of a polynomial reduction from DI (CI) to D (C) which was not included in the original version of the thesis. 19 20 Preliminaries In this chapter we present the basic notions regarding both description logics and propositional dynamic logics. We refer the reader to [82] and [74] for an introduction to the subjects. We also prove some propositions to be used in the following chapters. 2.1 Description logics Description logics allow one to represent a domain of interest in terms of concepts and roles. Concepts model classes of individuals, while roles model ....
B. Nebel. Reasoning and Revision in Hybrid Representation Systems. Lecture Notes In Artificial Intelligence. Springer-Verlag, 1990.
....is a decidable logic that generalizes Ait Kaci s formalism by adding negation and quantification. Feature Logic makes explicit that Ait Kaci s terms, the feature descriptions developed by computational linguists [KB82, RK86, Joh88] and the knowledge representation language KL ONE [BS85, LB87, Neb89, SSS91, NS90] are all closely related members of the same family of logics. These logics offer attributive concept descriptions that are interpreted as sets and are built from sorts and binary relations (called attributes, roles or features) using set operations such as intersection, union and ....
....a decidable logic that generalizes Ait Kaci s formalism by adding negation and quantification. Feature Logic makes explicit that Ait Kaci s terms, the feature descriptions developed by computational linguists [KB82, RK86, Joh88] and the knowledge representation language KL ONE [BS85, LB87, Neb89, SSS91, NS90] are all closely related members of the same family of logics. These logics offer attributive concept descriptions that are interpreted as sets and are built from sorts and binary relations (called attributes, roles or features) using set operations such as intersection, union and ....
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Bernhard Nebel. Reasoning and Revision in Hybrid Representation Systems. PhD thesis, Universitat des Saarlandes, Saarbrucken, West Germany, June 1989. To appear in Lecture Notes in Artificial Intelligence, Springer-Verlag.
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Bernhard Nebel. Reasoning and Revision in Hybrid Representation Systems, volume 422 of Lecture Notes in Artificial Intelligence. SpringerVerlag, Berlin, Heidelberg, New York, 1990.
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Nebel, B. (1990) Reasoning and Revision in Hybrid Representation Systems, New York: Springer.
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Nebel, B.: Reasoning and Revision in Hybrid Representation Systems. Number 422 in Lecture Notes in Artificial Intelligence. Springer-Verlag (1990)
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B. Nebel. Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG, 1990.
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Nebel, B. 1990. Reasoning and Revision in Hybrid Representation Systems. Springer--Verlag.
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Bernhard Nebel. Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG, 1990.
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Nebel, B. (1990). Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG.
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B. Nebel, "Reasoning and revision in Hybrid Representation systems". Lecture Notes in Artificial Intelligence 422, Springer-Verlag, ISBN 3-540-52443-6, 1987.
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B. Nebel. Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG, 1990.
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Bernhard Nebel. Reasoning and Revision in Hybrid Representation Systems, volume 422 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 1990.
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B. Nebel. Reasoning and Revision in Hybrid Representation Systems, volume 422 of Lecture Notes in Arti cial Intelligence. Springer-Verlag, Berlin, Heidelberg, New York, 1990. 5
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B. Nebel. Reasoning and revision in hybrid representation systems. volume 422 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 1990.
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Bernhard Nebel. Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG, 1990.
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Bernhard Nebel. Reasoning and revision in hybrid representation systems. Springer, Heidelberg, FRG, 1990.
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B. Nebel, Reasoning and Revision in Hybrid Representation Systems. Berlin: Springer (LNAI 422), 1990
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B. Nebel. Reasoning and Revision in Hybrid Representation Systems. volume 422 of LNCS, page 300. Springer-Verlag, New York, 1990.
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Bernhard Nebel. Reasoning and Revision in Hybrid Representation Systems. Number 422 in LNAI. Springer-Verlag, New York, 2nd edition, 1995.
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Nebel, B.: Reasoning and Revision in Hybrid Representation Systems. Number 422 in Lecture Notes in Artificial Intelligence. Springer-Verlag (1990)
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Bernhard Nebel. Reasoning and Revision in Hybrid Representation Systems, volume 422 of Lecture Notes in Artificial Intel ltel e. Springer-Verlag, 1990.
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B. Nebel, Reasoning and Revision in Hybrid Representation Systems. Berlin: Springer (LNAI 422), 1990
No context found.
B. Nebel, Reasoning and Revision in Hybrid Representation Systems. Berlin: Springer (LNAI 422), 1990
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Nebel, B.: Reasoning and Revision in Hybrid Representation Systems. Number 422 in Lecture Notes in Artificial Intelligence. Springer-Verlag (1990)
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B. Nebel, Reasoning and Revision in Hybrid Representation Systems. Berlin: Springer (LNAI 422), 1990
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