A meta-interpreter based on paraconsistent legal knowledge engineering

Jair Minoro Abe, Leonardo Pujatti

DOI: http://dx.doi.org/10.12775/LLP.2001.008

Abstract


The Legal Knowledge Engineering is a new topic of investigation of Artificial Intelligence. This paper discusses some relevant problems related to this new area in a summarized way. Within the Normative Law Theory, one question that arises naturally is that of contradiction, like for example: articles conflicting with other articles inside the same code, codes conflicting with codes, codes conflicting with jurisprudence, and in general, treatments with conflicting propositions in Normative Law Theory. This paper suggests to treat directly inconsistencies in the Legal Knowledge Engineering; this engineering has as underlying logic a paraconsistent annotated deontic logic. There are three main approximations in Legal Knowledge Engineering based on: cases, rules and logic. In this paper, we consider the approximation based on logic. It is considered a paraconsistent annotated deontic logic. Based on this logic, it is established a new proposal that is called Paraconsistent Legal Knowledge Engineering. For this proposal, it it is suggested a meta-interpreter to support the deontic operators as well as inconsistency — entitled on this paper Paralog D that can be used as a base to handle with the issues discussed.

Keywords


paraconsistent annotated deontic logic; paraconsistent legal knowledge engineering

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References


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