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Springer, Cham

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10.1016/0022-2836(85)90271-2

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Method of the Debugging of the Knowledge Bases of

Authors: Olga Dolinina
Publish Date: 2016/04/27
Volume: , Issue: , Pages: 307-314
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Abstract

The paper describes the method of the debugging of the intellectual decision making systems It combines the detecting of the structural errors and the testing of the knowledge base Static analysis allows to detect so called structural errors such as incomplete knowledge inconsistency extra rules Static debugging allows to build the static correct knowledge base But even the static correct knowledge base can have errors connected with the inconsistency of the subject area which can be detected with the dynamic debugging testing The paper shows that the most difficult for the detection is the “forgetting about the exception” type of the errors There is described the method of the generation of the full test set which allows to detect such types of the errors in the knowledge base The method is based on the building of the tests for the logic schemes The method was successfully approved for the testing of the rulebased expert systems and for the artificial network based on the 3level perceptronOpen Access This chapter is licensed under the terms of the Creative Commons AttributionNonCommercial 25 International License http//creativecommonsorg/licenses/bync/25/ which permits any noncommercial use sharing adaptation distribution and reproduction in any medium or format as long as you give appropriate credit to the original authors and the source provide a link to the Creative Commons license and indicate if changes were madeThe images or other third party material in this chapter are included in the chapters Creative Commons license unless indicated otherwise in a credit line to the material If material is not included in the chapters Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use you will need to obtain permission directly from the copyright holder


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