DocumentCode :
1605501
Title :
Evaluating AI-ESTATE standards compliance using a functional intelligence ratio
Author :
Kirkland, Larry V. ; Sheppard, John W. ; Simpson, William R.
Author_Institution :
OO/ALC, Ogden, UT, USA
fYear :
1992
Firstpage :
145
Lastpage :
149
Abstract :
Recent work by the IEEE Standards Coordinating Committee 20 (SCC-20) has included the specification of standards for artificially intelligent automatic test equipment (ATE). The SCC-20 established a subcommittee known as AI-ESTATE (artificial intelligence expert system tie to automatic test equipment). The authors propose a new approach to evaluating AI based ATE systems under AI-ESTATE using a weighted evaluation function based upon the functional capabilities of the AI system called the functional intelligence ratio (FIR). They describe the problems associated with evaluating AI systems, describe the role of AI-ESTATE as part of SCC-20, and present the FIR with a sample list of base requirements.<>
Keywords :
artificial intelligence; automatic test equipment; expert systems; standards; AI-ESTATE; ATE; FIR; IEEE Standards Coordinating Committee 20; SCC-20; artificially intelligent automatic test equipment; expert system; functional intelligence ratio; specification of standards; weighted evaluation function; Artificial intelligence; Automatic logic units; Automatic test equipment; Finite impulse response filter; Guidelines; Humans; Intelligent systems; Knowledge based systems; Operating systems; Standards Coordinating Committees;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON '92. IEEE Systems Readiness Technology Conference, Conference Record
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0643-0
Type :
conf
DOI :
10.1109/AUTEST.1992.270120
Filename :
270120
Link To Document :
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