Principles of Diagnosis: Current Trends and a Report on the First International Workshop

Authors

  • Walter Hamscher

DOI:

https://doi.org/10.1609/aimag.v12i4.921

Abstract

Automated diagnosis is an important AI problem not only for its potential practical applications but also because it exposes issues common to all automated reasoning efforts and presents real challenges to existing paradigms. Current research in this area addresses many problems, including managing and structuring probabilistic information, modeling physical systems, reasoning with defeasible assumptions, and interleaving deliberation and action. Furthermore, diagnosis programs must face these problems in contexts where scaling up to deal with cases of realistic size results in daunting combinatorics. This article presents these and other issues as discussed at the First International Workshop on Principles of Diagnosis.

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Published

1991-12-15

How to Cite

Hamscher, W. (1991). Principles of Diagnosis: Current Trends and a Report on the First International Workshop. AI Magazine, 12(4), 15. https://doi.org/10.1609/aimag.v12i4.921

Issue

Section

Workshop Reports