Optimal design as a real time AI problem
We introduce a methodology for solving optimal design problems within an Intelligent Real Time Problem Solving (IRTPS) framework. Information value theory is used to estimate the value of information gathering actions that promise expectations of an improved design. This value may then be compared with the expense of the actions in terms of increased design process cost, such as the designer’s time or computational costs, to arrive at an appropriate problem solving strategy. An optimal parametric design example is presented to clarify the theory.
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