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Compilation of Conditional Knowledge Bases for Computing C-Inference Relations

机译:用于计算C推理关系的条件知识库的编译

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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“如果a,那么通常b”的形式的不确定规则。对于C表的概念,已经提出了持怀疑态度的推理关系,以考虑到r的所有C形式。在本文中,我们提出了一个三相汇编方案,以了解知识库和持怀疑态度对约束满足问题。除了持怀疑态度的C推理之外,我们还表明,同样和弱持怀疑态度的C引诱可以被建模为约束满足问题,并且编译方案可以扩展到这些查询。对于每个编译步骤,我们证明了其声音和完整性,并在查询验证R的编译版本时展示了显着的效率效益。通过使用所提出的汇编方案的软件系统infocf的实验也支持这些发现。

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