Algorithmic Debugging and Hypothetical Reasoning

作者:Clemens Beckstein, Gerhard Tobermann

摘要

This paper presents a generalization of Shapiro style algorithmic debugging for generalized Horn clause intuitionistic logic. This logic offers hypothetical reasoning and negation is defined not by failure but by inconsistency. We extend Shapiro's notion of intended interpretation, symptoms and errors and give formal results paralleling those known for definite clauses. We also show how a corresponding diagnosis module for RISC- a logic programming system for generalized Horn clause intuitionistic logic-can be defined by meta interpretation. In contrast to Shapiro's PROLOG modules ours work independently of the specific computation rule that in RISC may be specified by the user.

论文关键词:algorithmic debugging, hypothetical reasoning, intuitionistic logic, logic programming, generalized Horn clauses, negation as inconsistency, meta interpretation

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论文官网地址:https://doi.org/10.1023/A:1008633100749