Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Reusing formalisations of legislation in a tutoring system

  • Published:
Artificial Intelligence Review Aims and scope Submit manuscript

Abstract

‘Statutor’ names an evolving Prolog program which is being developed as a knowledge-based tutoring system in the legal domain. The system utilises direct manipulation of graphical objects as a means of eliciting complex responses from the user and for providing graphical representations of complex answers to the user. It is a marriage of good interface practice and knowledge-based programming techniques which has presented a number of interesting prospects for tutoring. Perhaps the most interesting of these is the possibility of a dialog in which the student is asked to construct an argument in order to establish the truth of a particular proposition, the system then doing the same, and feedback and student modelling information being derived from a comparison of the two argument structures. This technique is not restricted in its significance to the legal domain but is applicable wherever knowledge of a subject matter can be expressed or tested by the construction of an argument. Finally, the system demonstrates the reusability of declarative knowledge by including additional modules (an expert system shall and an authoring system) with utilise the same knowledge bases as the main Statutor program itself.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Anderson, J. R., Boyle, C. F. and Yost, G. (1985) The Geometry Tutor. In A. Joshi (Ed.) Proceedings of the Ninth International Joint Conference on Artificial Intelligence, pp. 1–7, Los Altos, CA: Morgan Kaufman.

    Google Scholar 

  • LPA (1989) LPA MacProlog Reference Manual, Studio 4, RVPB, Trinity Rd., London.

    Google Scholar 

  • Routen, T. W. and Bench-Capon, T. J. M. (1991) Hierarchical formalisations, International Journal of Man-Machine Studies, 35, 69–93.

    Google Scholar 

  • Sleeman, D. and Hendley, R. J. (1982) ACE: A system which analyses complex explanations, in Sleeman, D. and Brown, J. S. (Eds.), Intelligent Tutoring Systems, Academic Press: London, pp. 99–118.

    Google Scholar 

  • Sterling, L. and Shapiro, E. (1986) The Art of Prolog, Cambridge, Mass: MIT Press, Ch. 13.

    Google Scholar 

  • Vasey, P. (1986) Qualified answers and their application to transformation, in Proceedings of the Third International Conference on Logic Programming, Berlin: Spring-Verlag, pp. 425–432.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Routen, T. Reusing formalisations of legislation in a tutoring system. Artif Intell Rev 6, 145–159 (1992). https://doi.org/10.1007/BF00150231

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00150231

Key Words