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Compilation of Conditional Knowledge Bases for Computing C-Inference Relations

机译:计算C推理关系的条件知识库的汇编

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A conditional knowledge base R contains defeasible rules of the form "If A, then usually B". For the notion of c-representations, a skeptical inference relation taking all c-representations of R into account has been suggested. In this paper, we propose a 3-phase compilation scheme for both knowledge bases and skeptical queries to constraint satisfaction problems. In addition to skeptical c-inference, we show that also credulous and weakly skeptical c-inference can be modelled as a constraint satisfaction problem, and that the compilation scheme can be extended to such queries. For each compilation step, we prove its soundness and completeness, and demonstrate significant efficiency benefits when querying the compiled version of R. These findings are also supported by experiments with the software system InfOCF that employs the proposed compilation scheme.
机译:条件知识库R包含形式“如果为A,则通常为B”的不可行规则。对于c表示的概念,已经提出了一种考虑到R的所有c表示的怀疑推理关系。在本文中,我们提出了一个针对知识库和怀疑性查询的三阶段编译方案,以约束满意度问题。除了怀疑的c推断之外,我们还表明,可以将轻率和怀疑的c推断建模为约束满足问题,并且可以将编译方案扩展到此类查询。对于每个编译步骤,我们证明它的安全性和完整性,并在查询R的编译版本时展示出显着的效率优势。这些发现还受到采用建议的编译方案的软件系统InfOCF的实验的支持。

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