Rule base verification using Petri nets

Stephen J. H. Yang, Alex S. Lee, W. Chu, Hongji Yang
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引用次数: 18

Abstract

We propose a Petri net formalism for the verification of rule based systems. Typical structural errors in a rule based system are redundancy, inconsistency, incompleteness, and circularity. Since our verification is based on Petri nets and their incidence matrix, we need to transform rules into a Petri net first, then derive an incidence matrix from the net. In order to allow a rule based system to be immune from the above described structural errors, we have observed that for all columns in the matrix, all positive entries must be above all negative entries; and for all rows in the matrix, all positive entries must be to the right of all negative entries. If this is not the case, the rule based system may commit errors. Based on this concept, we have developed a tool consisting of the following four phases: rule normalization, rule ordering, rule-to-Petri-net transformation, and rule verification. In phase one, we normalize the rules into Horn clauses. We rearrange the ordering of these normalized rules in phase two, then transform the reordered rules into a Petri net and its corresponding incidence matrix in phase three. In phase four, we perform the rule verification based on the incidence matrix.
使用Petri网的规则库验证
我们提出了一种基于规则的系统验证的Petri网形式。基于规则的系统中典型的结构错误是冗余、不一致、不完整和循环。由于我们的验证是基于Petri网及其关联矩阵,我们需要首先将规则转换为Petri网,然后从网络中导出关联矩阵。为了使基于规则的系统免受上述结构错误的影响,我们已经观察到,对于矩阵中的所有列,所有正项必须高于所有负项;对于矩阵中的所有行,所有正的元素都必须在所有负的元素的右边。如果不是这样,基于规则的系统可能会犯错误。基于这个概念,我们开发了一个由以下四个阶段组成的工具:规则规范化、规则排序、规则到petri -net的转换和规则验证。在第一阶段,我们将规则规范化为霍恩条款。我们在第二阶段对这些归一化规则进行重新排序,然后在第三阶段将这些重新排序的规则转换成一个Petri网及其相应的关联矩阵。在第四阶段,我们基于关联矩阵执行规则验证。
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