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An inefficient naive approach to parametric design is called
generate & test
, which depends on the following inferences:
– requires knowledge that describes what constitutes a possible design (i.e., the design space);
– requires knowledge that describes which possible designs are desired (i.e. the user requirements);
– requires knowledge that describes which possible designs are valid (i.e., the domain constraints);
– requires knowledge that evaluates solutions (i.e., knowledge that describes what constitutes a preferred design).
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