CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling

  title={CRSL: A Language for Classificatory Problem Solving and Uncertainty Handling},
  author={Tom Bylander and Sanjay Mittal},
  journal={AI Magazine},
In this article, we present a programming language for expressing classificatory problem solvers. CSRL (Conceptual Structures Representation Language) provides structures for representing classification trees, for navigating within those trees, and for encoding uncertainty judgments about the presence of hypotheses. We discuss the motivations, theory, and assumptions that underlie CSRL. Also, some expert systems constructed with CSRL are briefly described. 66 THE AI MAGAZINE August, 1986 AI… CONTINUE READING

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Publications referenced by this paper.
Showing 1-10 of 32 references

OPS5 Users Manual

  • C. L. Forgy
  • Tech Rep CMU-CS-81135. Pittsburgh, Pennsylvania…
  • 1981
Highly Influential
4 Excerpts

Application of the CSRL Language to the Design of Expert Diagnosis Systems: The AutoMech Experience.

  • M. C. Tanner, T. Bylander
  • In J. Richardson ed , Artificial Intelligence in…
  • 1985
Highly Influential
3 Excerpts

ASsembling the Best Explanation

  • J R Josephson, B Chandrasekaran, J. W. Smith
  • In Proceedings of the IEEE Workshop on Principles…
  • 1984
Highly Influential
3 Excerpts

Design of a Distributed Medical Diagnosis and Database System.

  • S Mittal
  • Ph D. diss , Department of Computer and…
  • 1980
Highly Influential
4 Excerpts

Representativeness and Uncertainty in Classification Systems.

  • P. Cohen, A. Davis, +4 authors C. Loiselle
  • AI Magazine
  • 1986

An Overview of the KL-ONE Knowledge Representation System

  • Brachman, J R, J. G. Schmolze
  • Cognitive Science
  • 1985

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