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Proceedings Paper

Interpreting Signals With An Assumption-Based Truth Maintenance System
Author(s): Rowland R. Johnson; Thomas W. Canales; Darrel L. Lager; Cynthia L. Mason; Robert M. Searfus
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Paper Abstract

This paper presents an expert system that interprets seismic events. The general problem of signal interpretation is formally described. The system uses an assumption based truth maintenance system. The advantages of using this approach for this application are described.

Paper Details

Date Published: 11 May 1987
PDF: 6 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940638
Show Author Affiliations
Rowland R. Johnson, Lawrence Livermore National Laboratory (United States)
Thomas W. Canales, Lawrence Livermore National Laboratory (United States)
Darrel L. Lager, Lawrence Livermore National Laboratory (United States)
Cynthia L. Mason, Lawrence Livermore National Laboratory (United States)
Robert M. Searfus, Lawrence Livermore National Laboratory (United States)


Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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