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The clasp representation language provides description-forming operators that specify temporal and conditional relationships between actions represented in classic (a current subsumption-based knowledge representation language).
In this case polynomial PAC-learnability holds if a different representation language is used.
The paper reports the design of Dipe-R, a knowledge representation language.
Furthermore, a role definition language is given, and a policy representation language is discussed.
We present ARTIGENCE, a representation language that combines description logics and Horn rules with uncertainty.
In particular, we have developed an advanced knowledge representation language called CONCEPT.
Taxonomic information describes classification of symbols of a knowledge representation language.
We describe WHIRL, an "information representation language" that synergistically combines properties of logic-based and text-based representation systems.
This provides a useful representation language in its own right, providing a compromise between heuristic and epistemic adequacy.
These systematic sets of associations were implemented using the KODIAK knowledge representation language.
This paper describes KRL, a Knowledge Representation Language designed for use in understander systems.
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