Application of MOKA methodology in generative model creation using CATIA

Authors:
Wojciech Skarka
Affiliations:
Department of Fundamentals of Machinery Design, Silesian University of Technology, Konarskiego 18a, 44-100 Gliwice, Poland
Venue:
Engineering Applications of Artificial Intelligence
Year:
2007

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Abstract

The paper presents the method of generative model creation in CATIA system. The method covers not only the very process of model creation in CATIA system but also the whole complexity of the process, beginning with knowledge identification and acquisition and finally with explanation system creation that facilitates and justifies the usage of generative model itself. The method, in one of its parts, uses MOKA methodology and in particular its informal knowledge model and knowledge representation for generative model, which is special for CATIA.