Amalgamating regulation- and case-based advice systems through suggested answers

ABSTRACT

This paper proposes a method whereby regulation- and case-based systems may be amalgamated in logic-based advice systems through the use of suggested answers, originally used in a non-legal domain. These are based on relationships, declared at the meta-level, between generalized cases and the vague concepts of the regulations; satisfaction of the conditions derived from cases is not, however, seen as implying that the vague concepts hold, merely as being indicative of them. The resulting systems allow the user free interpretation of the vague concepts, but provide help with interpretation, if required, based on the cases; they also provide clear separation of regulations and cases.

REFERENCES

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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.2.3 Deduction and Theorem Proving
          Subjects: Logic programming

General Terms:
Design, Legal Aspects, Performance