Upside-Down Meta-Interpretation of the Model Elimination Theorem-Proving Procedure for Deduction and Abduction

Abstract

Typical bottom-up, forward-chaining reasoning systems such as hyperresolution lack goal-directedness while typical top-down, backward-chaining reasoning systems like Prolog or model elimination repeatedly solve the same goals. Reasoning systems that are goal-directed and avoid repeatedly solving the same goals can be constructed by formulating the top-down methods metatheoretically for execution by a bottom-up reasoning system (hence, upside- down meta-interpretation is being used). This also facilitates the use of flexible search strategies, such as merit-ordered search, that are common to bottom-up interpreters. The model elimination theorem proving procedure, its extension by an assumption rule for abduction and its restriction to Horn clauses, are adapted here for such upside-down meta-interpretation. This work can be regarded as an extension of the magic set method for query evaluation in deductive databases to both non-Horn clauses and abductive reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 1992
Accession Number
ADA259436

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  • Mark E. Stickel

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  • SRI International

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DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programming
  • Databases
  • Elimination
  • Filtration
  • Language
  • Military Research
  • Natural Languages
  • Reasoning
  • Redundancy
  • Standards
  • Test And Evaluation
  • Translations
  • Trees (Data Structures)
  • United States
  • United States Government

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  • Computational Linguistics