Activities of engineers for design, analysis, manufacturing planning and other purposes constitute a complex structure of decisions. Recently, integrated modeling systems support product lifecycle data management. Model entities are organized in structures by associativity definitions between entities. The authors introduce several methods to include intelligence into these systems. Key method is extension of the feature principle to allow definition of comprehensive sets of application oriented entities by engineers. The paper starts with an outline of the approach by the authors to modeling by behavior and adaptivity features as an extended application of the feature principle. Following this, a description of engineering objects is proposed to accept intelligence for decision support. Next application of behavior driven adaptivities is explained. Finally, handling and processing of human intent filtered corporate knowledge is detailed.
Product modeling, support of decision making, behavior based modeling, human intent modeling.
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