Transforming general program proofs: a meta interpreter which expands negative literals
暂无分享,去创建一个
This paper provides a method for generating a proof tree from an instance and a general logic program viz one which includes negative literals. The method differs from previous work in the field in that negative literals are first unfolded and then transformed using De Morgan's laws so that the tree explicitly includes negative rules. The method is applied to a real-world example - a large executable specification providing rules for separation for two aircraft. Given an instance of a pair of aircraft whose flight paths potentially violate seperation rules,the tree contains both positive and negative rules which contribute to the proof.
[1] Smadar T. Kedar-Cabelli,et al. Explanation-Based Generalization as Resolution Theorem Proving , 1987 .
[2] Keith L. Clark,et al. Negation as Failure , 1987, Logic and Data Bases.
[3] Raymond J. Mooney,et al. First-Order Theory Revision , 1991, ML.
[4] Raymond J. Mooney,et al. Automated refinement of first-order horn-clause domain theories , 2005, Machine Learning.
[5] N. J.L.deSiqueira,et al. Explanation-Based Generalisation of Failures , 1988, ECAI.