Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor Manufacturing

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Citation: John L. Mohammed. (1994) Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor Manufacturing. In KSL-94-62, 1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author John L. Mohammed
title Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor Manufacturing
number KSL-94-62
institution Stanford University
year 1994
Bibtex more
note STAN-CS-94-1526 September.
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abstract Semiconductor Manufacturing is characterized by complexity and continual, rapid change. These characteristics reduce the effectiveness of traditional diagnostic expert systems: the knowledge represented cannot adapt to changes in the manufacturing plan because the dependence of the knowledge on the plan is not explicitly represented. It is impractical to manually encode all the dependencies in a complex plan. We address this problem in two ways. First, we employ model-based techniques to encode theoretical knowledge, so that symbolic simulation of a new manufacturing plan can automatically glean diagnostic information. Our representation is sufficiently detailed to capture the plan's inherent causal dependencies, yet sufficiently abstract to make symbolic simulation practical. This theoretical knowledge can adapt to changes in the manufacturing plan.However, the expressiveness and tractability of our representational machinery limit the range of phenomena that we can represent. Second, we describe Generic Rules, which combine the expressiveness of heuristic rules with the robustness of theoretical models. Generic Rules are general patterns for heuristic rules,associated with model-based restrictions on the situations in which the patterns can be instantiated to form rules for new contexts. In this way, theoretical knowledge is employed to encode the dependence of heuristic knowledge on the manufacturing plan.

KSL Technical Report ID: KSL-94-62
Facts about Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor ManufacturingRDF feed
Abstract Semiconductor Manufacturing is characteriz Semiconductor Manufacturing is characterized by complexity and continual, rapid change. These characteristics reduce the effectiveness of traditional diagnostic expert systems: the knowledge represented cannot adapt to changes in the manufacturing plan because the dependence of the knowledge on the plan is not explicitly represented. It is impractical to manually encode all the dependencies in a complex plan. We address this problem in two ways. First, we employ model-based techniques to encode theoretical knowledge, so that symbolic simulation of a new manufacturing plan can automatically glean diagnostic information. Our representation is sufficiently detailed to capture the plan's inherent causal dependencies, yet sufficiently abstract to make symbolic simulation practical. This theoretical knowledge can adapt to changes in the manufacturing plan.However, the expressiveness and tractability of our representational machinery limit the range of phenomena that we can represent. Second, we describe Generic Rules, which combine the expressiveness of heuristic rules with the robustness of theoretical models. Generic Rules are general patterns for heuristic rules,associated with model-based restrictions on the situations in which the patterns can be instantiated to form rules for new contexts. In this way, theoretical knowledge is employed to encode the dependence of heuristic knowledge on the manufacturing plan. istic knowledge on the manufacturing plan.
Author John L. Mohammed  +
Bibtype techreport  +
Has author John L. Mohammed  +
Has identifier KSL-94-62  +
Has publishing details 1994  +
Has title Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor Manufacturing  +
Has where published KSL-94-62  +
Has year 1994  +
Institution Stanford University  +
Ksl tr id KSL-94-62  +
Note STAN-CS-94-1526 September.
Number KSL-94-62  +
Process note NO  +
Title Combining Experiential and Theoretical Knowledge in the Domain of Semiconductor Manufacturing  +
Year 1994  +
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