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Methodology for testing and validating knowledge basesA test and validation toolset developed for artificial intelligence programs is described. The basic premises of this method are: (1) knowledge bases have a strongly declarative character and represent mostly structural information about different domains, (2) the conditions for integrity, consistency, and correctness can be transformed into structural properties of knowledge bases, and (3) structural information and structural properties can be uniformly represented by graphs and checked by graph algorithms. The interactive test and validation environment have been implemented on a SUN workstation.
Document ID
19880006982
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Krishnamurthy, C. (Vanderbilt Univ. Nashville, TN., United States)
Padalkar, S. (Vanderbilt Univ. Nashville, TN., United States)
Sztipanovits, J. (Vanderbilt Univ. Nashville, TN., United States)
Purves, B. R. (Boeing Aerospace Co. Huntsville, Ala., United States)
Date Acquired
September 5, 2013
Publication Date
November 1, 1987
Publication Information
Publication: NASA. Marshall Space Flight Center, Third Conference on Artificial Intelligence for Space Applications, Part 1
Subject Category
Cybernetics
Accession Number
88N16364
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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