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Motivating Example

  • An inefficient naive approach to parametric design is called generate & test , which depends on the following inferences:

    • generate – requires knowledge that describes what constitutes a possible design (i.e., the design space);

    • R-test – requires knowledge that describes which possible designs are desired (i.e. the user requirements);

    • C-test – requires knowledge that describes which possible designs are valid (i.e., the domain constraints);

    • select – requires knowledge that evaluates solutions (i.e., knowledge that describes what constitutes a preferred design).


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