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Explanations in knowledge systems - Design for Explainable Expert SystemsThe Explainable Expert Systems framework (EES), in which the focus is on capturing those design aspects that are important for producing good explanations, including justifications of the system's actions, explications of general problem-solving strategies, and descriptions of the system's terminology, is discussed. EES was developed as part of the Strategic Computing Initiative of DARPA. Both the general principles from which the system was derived and how the system was derived from those principles can be represented in EES. The Program Enhancement Advisor, which is the main prototype on which the explanation work has been developed and tested, is presented. PEA is an advice system that helps users improve their Common Lisp programs by recommending transformations that enhance the user's code. How EES produces better explanations is shown.
Document ID
19910063456
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Swartout, William
(University of Southern California Marina del Rey, CA, United States)
Paris, Cecile
(Southern California, University Marina del Rey, CA, United States)
Moore, Johanna
(Pittsburgh, University PA, United States)
Date Acquired
August 14, 2013
Publication Date
June 1, 1991
Publication Information
Publication: IEEE Expert
Volume: 6
ISSN: 0885-9000
Subject Category
Computer Programming And Software
Accession Number
91A48079
Funding Number(s)
CONTRACT_GRANT: MDA903-81-C-0335
CONTRACT_GRANT: NCC2-520
Distribution Limits
Public
Copyright
Other

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