Generation of a minimal set of test cases that is functionally equivalent to anexhaustive set , for use in knowledge - based system
نویسنده
چکیده
A lot of the created AI Systems nd their end in the "wastebasket of academic solutions". The authors are convinced, that the main reason of this dilemma is the fact that nobody can really prove the validity of his system. This is no surprise, because expectations of users usually can't be formalized. One way out of this dilemma is using a test case methodology for system validation. The paper presents a method to nd a set of "good" test cases for rule{based systems using sensor data as input.
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تاریخ انتشار 2007