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