Titlebook: Artificial Intelligence in Design ’92; J. S. Gero,Fay Sudweeks Book 1992 Kluwer Academic Publishers 1992 artificial intelligence.case-base

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978-94-010-5238-2Kluwer Academic Publishers 1992

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A System for Supporting Design Configurationng product structure satisfies all requirements and constraints. This paper presents an approach to configuration design based on interactive decision support. A prototype system based on nonmonotonic propagation through a network is presented and illustrated using an example from the field of large power generation systems.

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https://doi.org/10.1007/978-3-322-87313-2stem can be used by a routine design problem solver for the detailed design of the individual sub-parts. The abductive reasoning used by us differs from abductive hypothesis assembly since the causalities and assembly techniques for hypothesis and those for parts differ. The work reported in this pa

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,Verzeichnis der Einzelver?ffentlichungen,e goals and constraints. Based on the framework presented in this paper, a knowledge-based design tool, called HYSYN (HYdraulics SYNthesizer), was developed. A design example of systematic configuration of hydraulic systems is also presented. Issues in automated configuration design issues, such as

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https://doi.org/10.1007/978-3-531-90730-7he order defined by the plan and can be executed to produce a solution to the CSP. This is very efficient in the case where one wants to vary a parameter over a certain range and to study its influence on other values for a given CSP.

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https://doi.org/10.1007/978-3-531-90730-7 to the designer on improvements that can be made to the design of the PWB so as to improve it’s testability. TEST has a number of advantages: it has a relatively large number of constraints, it is flexible enough to be expanded in a relatively straightforward fashion, it naturally aligns with the o

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