constraint logic programming - Definition. Was ist constraint logic programming
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Was (wer) ist constraint logic programming - definition

PROGRAMMING PARADIGM WHICH COMBINES LOGIC PROGRAMMING AND CONSTRAINT SATISFACTION
Constraint Logic Programmimg; Constraint store; Constraint-logic programming; Finite constraint; Finite domain constraint; Constraint Logic Programming; CLP(FD)

Constraint Logic Programming         
(CLP) A programming framework based (like Prolog) on LUSH (or SLD) resolution, but in which unification has been replaced by a constraint solver. A CLP interpreter contains a Prolog-like inference engine and an {incremental constraint solver}. The engine sends constraints to the solver one at a time. If the new constraint is consistent with the collected constraints it will be added to the set. If it was inconsistent, it will cause the engine to backtrack. CLP* is a variant. ["Constraint Logic Programming", J. Jaffar et al, 14th POPL, ACM 1987]. (1994-11-01)
Constraint logic programming         
Constraint logic programming is a form of constraint programming, in which logic programming is extended to include concepts from constraint satisfaction. A constraint logic program is a logic program that contains constraints in the body of clauses.
Concurrent constraint logic programming         
Concurrent constraint logic programming is a version of constraint logic programming aimed primarily at programming concurrent processes rather than (or in addition to) solving constraint satisfaction problems. Goals in constraint logic programming are evaluated concurrently; a concurrent process is therefore programmed as the evaluation of a goal by the interpreter.

Wikipedia

Constraint logic programming

Constraint logic programming is a form of constraint programming, in which logic programming is extended to include concepts from constraint satisfaction. A constraint logic program is a logic program that contains constraints in the body of clauses. An example of a clause including a constraint is A(X,Y) :- X+Y>0, B(X), C(Y). In this clause, X+Y>0 is a constraint; A(X,Y), B(X), and C(Y) are literals as in regular logic programming. This clause states one condition under which the statement A(X,Y) holds: X+Y is greater than zero and both B(X) and C(Y) are true.

As in regular logic programming, programs are queried about the provability of a goal, which may contain constraints in addition to literals. A proof for a goal is composed of clauses whose bodies are satisfiable constraints and literals that can in turn be proved using other clauses. Execution is performed by an interpreter, which starts from the goal and recursively scans the clauses trying to prove the goal. Constraints encountered during this scan are placed in a set called constraint store. If this set is found out to be unsatisfiable, the interpreter backtracks, trying to use other clauses for proving the goal. In practice, satisfiability of the constraint store may be checked using an incomplete algorithm, which does not always detect inconsistency.