Deep models, normative reasoning and legal expert systems

ABSTRACT

This paper discusses the role of deep models and deontic logic in legal expert systems. Whilst much research work insists on the importance of both these features, legal expert systems are being built using shallow models and no more propositional logic, and are claimed to be successful in use. There is then a prima facie conflict between findings of research and commercial practice, which this paper explores, and attempts to explain.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems
          Subjects: Law

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Predicate logic
      I.2.6 Learning
          Subjects: Knowledge acquisition

General Terms:
Design, Legal Aspects