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dlv

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The answer DLV has 3 possible clue(s) in existing crosswords.

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The word DLV is NOT valid in any word game. (Sorry, you cannot play DLV in Scrabble, Words With Friends etc)

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Definitions of dlv in various dictionaries:

DLV - The DLV (DataLog with Disjunction, where the logical disjunction symbol V is used) system is a disjunctive logic programming system, implementing t...

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Dlv description
The DLV (DataLog with Disjunction, where the
* logical disjunction symbol V is used) system is a
* disjunctive logic programming system, implementing the
* stable model semantics under the Answer set programming
* paradigm. It extends the datalog language to allow the
* use of OR in rules.
* Briefly, disjunctive Datalog is a variant of Datalog where disjunctions
* may appear in the rule heads; advanced versions also allow for negation
* in the bodies, which can be handled according to a semantics for negation
* in disjunctive logic programming.
* A disjunctive Datalog rule is a clause of the form:*
*
*
*
* a
*
* 1
*
*
* ∨
* ⋯
* ∨
*
* a
*
* n
*
*
* ←
*
* b
*
* 1
*
*
* ∧
* ⋯
* ∧
*
* b
*
* m
*
*
*
* 1
* ≤
* n
* ,
* 0
* ≤
* m
*
*
* {\displaystyle a_{1}\vee \dots \vee a_{n}\leftarrow b_{1}\wedge \dots \wedge b_{m}\quad 1\leq n,0\leq m}
*
* A disjunctive Datalog constraint is a clause of the form:
*
*
*
*
* ←
*
* b
*
* 1
*
*
* ∧
* ⋯
* ∧
*
* b
*
* m
*
*
*
* 0
* ≤
* m
*
*
* {\displaystyle \leftarrow b_{1}\wedge \dots \wedge b_{m}\quad 0\leq m}
*
* One of the most popular nonmonotonic logics is Reiter’s [1980] default
* logic. This logic was developed as a knowledge representation formalism
* and was originally not conceived as a database query language. However,
* a suitable setting was defined in which default logic can be used as a
* query language for relational databases (Default Query Language, DQL).
* From a practical point of view, in the context of deductive databases
* disjunctive Datalog seems to be the more suitable extension of DATALOG~
* than DQL. Due to its plain syntax, DATALOGv,~ is amenable to automatic
* program analysis and optimization.
* These results are not only of theoretical interest; problems relevant in
* practice such as computing the optimal tour value in the Traveling Salesman
* Problem and eigenvector computations can be handled in disjunctive Datalog, but
* not Datalog with negation (unless the Polynomial Hierarchy collapses) .
* Example Input: Datalog with Negation as Failure
*
* smoker(john).
* smoker(jack).
*
* jogger(jill).
* jogger(john).
*
* healthy(X) :- jogger(X), \+ smoker(X).
*
* Translation to DLV: Take Clark Completion and Clausal Form
*
* smoker(X) <- X=john.
* smoker(X) <- X=jack.
* X=john v X=jack <- smoker(X).
*
* jogger(X) <- X=jill.
* jogger(X) <- X=john.
* X=jill v X=john <- jogger(X).
*
* healthy(X) v smoker(X) <- jogger(X).
* jogger(X) <- healthy(X)
* <- healthy(X) & smoker(X).
*
* Example Run: Single Stable Model
*
* ?- healthy(X).
* X = jill ;
* No
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