Download PDF by Christopher Tong (Eds.): Artificial Intelligence in Engineering Design. Models of

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

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Non-iterative, knowledge-based routine design For some design tasks, sufficient knowledge or methods are available that a single pass (more or less) of top-down refinement - possibly aided by constraint processing, patching, and directly applicable control knowledge -- is generally sufficient for converging on an acceptable design. This kind of design process model is demonstrated in several systems discussed in this book, including AIRCYL (Volume I, Chapter 7) and VEXED (Volume I, Chapter 8). */, where p is the number of parts in the original specification, and / is the number of levels of abstraction through which each such part must be refined.

2, pp. 127-162, March 1986. INTRODUCTION 51 [8] Dechter, R.

If functionality-preserving transformations are not available, a weaker approach is to apply transformations that modify the artifact’s (physical) structure in some manner, and then analyze the resulting functionality. Such analysis may then suggest further directions for modification until the desired functionality is (re)achieved. Such modifications are also guided by performance criteria and resource limitations. One such approach is described in Volume Π, Chapter 6. , ways to make a given structure achieve multiple functions).

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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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