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Proceedings Paper

Abductive signal interpretation for nondestructive evaluation
Author(s): Paul O'Rorke; Steven Morris
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Paper Abstract

An account is given of how knowledge-intensive explanatory reasoning can be used to construct an interpretation of ultrasonic signals indicating the existence of cracks and similar defects in solid materials; this AI 'abductive' reasoning is able to simultaneously inspect and classify the material sample in question. The abduction (logic-programming-based) engine used is implemented in the PROLOG code AMAL, and conducts backward chains that reduce observations to known facts via general laws. AMAL is capable of making assumptions in ways comparable to those recently explored in truth maintenance and logic programming frameworks.

Paper Details

Date Published: 1 March 1992
PDF: 8 pages
Proc. SPIE 1707, Applications of Artificial Intelligence X: Knowledge-Based Systems, (1 March 1992); doi: 10.1117/12.56873
Show Author Affiliations
Paul O'Rorke, Univ. of California/Irvine (United States)
Steven Morris, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 1707:
Applications of Artificial Intelligence X: Knowledge-Based Systems
Gautam Biswas, Editor(s)

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