Christopher Tong (Eds.)'s Artificial Intelligence in Engineering Design. Design PDF

By Christopher Tong (Eds.)

ISBN-10: 0126605610

ISBN-13: 9780126605617

ISBN-10: 0323139957

ISBN-13: 9780323139953

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Additional info for Artificial Intelligence in Engineering Design. Design Representation and Models of Routine Design

Sample text

Missing design knowledge Why might relevant design knowledge be missing? One reason is that the most naturally acquirable knowledge might not necessarily be in a directly ap­ plicable form. This is often so in case-based reasoning; old designs and design process traces can be stored away fairly easily (if stored verbatim) in a case database, but then this leaves the problem of how to use these old cases to help solve a new design problem. ). , the generalized knowledge is not quite operational and must be made so at run-time; the (overly) generalized knowledge is not quite correct in all the circumstances to which it appears to be applicable; etc.

This approach has been applied to VLSI design in the A D A M system (Volume Π, Chapter 8). But what is the "best" abstract plan? In ADAM, "best" means the one which when executed, creates a design that comes closest to satisfying all of several resource limitations (on area, speed, power, and design time). A D A M uses a single weighted evaluation function of all the resource usages: wl * area + w2 * speed + w3 * power + w4 * design time where wl+w2+w3+w4=l to guide its search. A D A M first finds plans that construct designs which are op­ timal with respect to each of the individual resources; for instance, to do so for "area" would involve setting w l = 1, and w 2 = w3 = w 4 =0.

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. , hillclimbing in the space of problem formulations). The mapping of a knowledge level specification of a design system into an algorithm-level search algorithm can draw on formally represented bodies of generally useful "common sense" knowledge and procedures relevant to reason­ ing about the physical artifacts being designed.

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Artificial Intelligence in Engineering Design. Design Representation and Models of Routine Design by Christopher Tong (Eds.)

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