Download e-book for kindle: Artificial Intelligence in Engineering Design. Models of by Christopher Tong (Eds.)

By Christopher Tong (Eds.)

ISBN-10: 0126605610

ISBN-13: 9780126605617

ISBN-10: 0126605629

ISBN-13: 9780126605624

ISBN-10: 0126605637

ISBN-13: 9780126605631

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Additional info for Artificial Intelligence in Engineering Design. Models of Innovative Design, Reasoning about Physical Systems, and Reasoning about Geometry

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For example, the ALADIN system draws on multiple knowledge sources, and consequently must also answer new control questions: which knowledge source to consult next? How to com­ bine the outputs of several knowledge sources? etc. • Multiple objectives. Another source of control problems arises when multiple objectives must be satisfied. New control questions in­ clude: With respect to which objective should the design be im­ proved next? Which part of the design should be redesigned to ef­ fect the improvement?

Qualitative or numerical simulation) to determine, and may lead to a search through the space of possible mutations for a correct and good one. Using multiple knowledge sources to generate new points in the design space is usually indirect in that integrating partial solutions is a nontrivial problem-solving process. Design processes can also be non-routine and indirect in the sense that control of the search is indirect —it requires an explicit problem-solving process, rather than merely the direct application of a simple control procedure or the direct in­ terpretation of a single piece of control knowledge to decide what to do next.

Summary. BOGART’s main innovation is in its method for design case reuse (via replay); ARGO’s is in design case storage (macrorules with conditions of applicability); CADET’s contribution is its method for design case retrieval (via transforming the design problem). All of these systems make contributions to the representation and organization of design cases that support their primary contribution. 3. Innovation via structural mutation and analysis Most directly applicable knowledge for generating new points in the design space (either via refinement or modification) guarantees that something is being held invariant; most commonly, the functionality of the old design is preserved.

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Artificial Intelligence in Engineering Design. Models of Innovative Design, Reasoning about Physical Systems, and Reasoning about Geometry by Christopher Tong (Eds.)


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