skip to main content
10.1145/74014.74023acmconferencesArticle/Chapter ViewAbstractPublication PagesicailConference Proceedingsconference-collections
Article
Free Access

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

Published:01 May 1989Publication History

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

  1. Ashley, K.D. and Rissland, E.L., 1987. Compare and Contrast, A Test of Expertise. In: Procs. 6th AAAI.Google ScholarGoogle Scholar
  2. Bench-Capon, T.J.M., 1989. Practical Legal Expert Systems: The relation between a formalisation of law and expert knowledge. In: Computer, Law and AI (eds. Bennum, M. and Naryanan, A.), Ablex.Google ScholarGoogle Scholar
  3. Gardner, A.v.d.L., 1985. Overview of an artificial approach to legal reasoning. In: Computing and Legal Reasoning (ed. Walter, C.). West Publishing Co., St. Paul, Minn. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Lakhani, H.M., 1988. Stock Exchange Regulations in Logic. MSc Thesis, Department of Computing, Imperial College.Google ScholarGoogle Scholar
  5. Sergot, M.J., 1983, A query-the-user facility for logic programming. In: Integrated Intcra;ctive Computer Systems (eds. Degano, P. and Sandewall, E), North- Holland,Google ScholarGoogle Scholar
  6. Sergot, M.J., Sadri, F., Kowalski, R.A., Kriwaczek, F., Hammond, P. and Cory, H.T., 1986, The British Nationality Act as a Logic Program. Comms. of the ACM, 29, 5. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Susskind, R.E., 1986. Expert systems in law: A jurisprudential approach to artificial intelligence and legal reasoning, in: The Modem Law Review 49.Google ScholarGoogle Scholar
  8. Wolstenholme, D.E. and Hammond, P., 1988. Sigma-APES User Manual. Logic Based Systems, Richmond, Surrey, U.K.Google ScholarGoogle Scholar
  9. Wolstenholme, D.E. and O'Brien, C.M., 1987. GLIMPSE - a statistical adventure. In: Procs. 10th IICAI, Milan.Google ScholarGoogle Scholar

Index Terms

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

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ICAIL '89: Proceedings of the 2nd international conference on Artificial intelligence and law
          May 1989
          258 pages
          ISBN:0897913221
          DOI:10.1145/74014
          • Chairmen:
          • J. C. Smith,
          • R. T. Franson

          Copyright © 1989 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 May 1989

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • Article

          Acceptance Rates

          Overall Acceptance Rate69of169submissions,41%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader