UNIFORM PROOFS AS A FOUNDATION FOR LOGIC PROGRAMMING
35 pages
English

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35 pages
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Niveau: Supérieur
UNIFORM PROOFS AS A FOUNDATION FOR LOGIC PROGRAMMING Dale Miller Computer and Information Science Department University of Pennsylvania, Philadelphia, PA 19104 Gopalan Nadathur Computer Science Department Duke University, Durham, NC 27706 Frank Pfenning Computer Science Department Carnegie Mellon University, Pittsburgh, PA 15213 Andre Scedrov Mathematics Department University of Pennsylvania, Philadelphia, PA 19104 Abstract: A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like programming languages is provided. This characterization is based on the principle that the declarative meaning of a logic program, provided by provability in a logical system, should coincide with its operational meaning, provided by interpreting logical connectives as simple and fixed search instructions. The operational semantics is formalized by the identification of a class of cut-free sequent proofs called uniform proofs. A uniform proof is one that can be found by a goal-directed search that respects the inter- pretation of the logical connectives as search instructions. The concept of a uniform proof is used to define the notion of an abstract logic programming language, and it is shown that first-order and higher-order Horn clauses with classical provability are examples of such a language. Horn clauses are then generalized to hereditary Harrop formulas and it is shown that first-order and higher-order versions of this new class of formulas are also abstract logic programming languages if the inference rules are those of either intuitionistic or minimal logic.

  • variable names

  • primitives should

  • logic programming

  • order horn

  • higher-order versions

  • uniform proofs

  • existentially quantified variables

  • logical constants

  • horn clause


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Nombre de lectures 13
Langue English

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UNIFORM PROOFS AS A FOUNDATION FOR LOGIC PROGRAMMING
Dale MillerComputer and Information Science Department University of Pennsylvania, Philadelphia, PA 19104 Gopalan NadathurComputer Science Department Duke University, Durham, NC 27706 Frank PfenningComputer Science Department Carnegie Mellon University, Pittsburgh, PA 15213 Andre ScedrovMathematics Department University of Pennsylvania, Philadelphia, PA 19104
Abstract:A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like programming languages is provided. This characterization is based on the principle that the declarative meaning of a logic program, provided by provability in a logical system, should coincide with its operational meaning, provided by interpreting logical connectives as simple and xed search instructions. The operational semantics is formalized by the identication of a class of cut-free sequent proofs calleduniform proofs. A uniform proof is one that can be found by a goal-directed search that respects the inter-pretation of the logical connectives as search instructions. The concept of a uniform proof is used to dene the notion of anabstract logic programming language, and it is shown that rst-order and higher-order Horn clauses with classical provability are examples of such a language. Horn clauses are then generalized tohereditary Harrop formulasand it is shown that rst-order and higher-order versions of this new class of formulas are also abstract logic programming languages if the inference rules are those of either intuitionistic or minimal logic. The programming language signicance of the various generalizations to rst-order Horn clauses is briey discussed.
Appear inAnnals of Pure and Applied Logic, 1991 (51), 125–157.
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