Compiling Diagnosis Rules and Redesign Plans from a Structure

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Citation: Richard M. Keller and Catherine Baudin and Yumi Iwasaki and P. Pandurang Nayak and K. Tanaka. (1989) Compiling Diagnosis Rules and Redesign Plans from a Structure. In KSL-89-50, June,1989.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Richard M. Keller and Catherine Baudin and Yumi Iwasaki and P. Pandurang Nayak and K. Tanaka
title Compiling Diagnosis Rules and Redesign Plans from a Structure
number KSL-89-50
institution Knowledge Systems, AI Laboratory
year 1989
month June
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abstract The current generation of expert systems is fueled by special-purpose, task-specific associational rules developed with the aid of domain experts. In many cases, the expert has distilled or compiled these so-called "shallow" rules from "deeper" models of the application domain in order to optimize task performance. With the traditional knowledge engineering approach, only the shallow, special-purpose rules are elicited from the expert--not the underlying domain models upon which they are based. This results in two significant problem. First, expert systems cannot share knowledge bases because they contain only special-purpose rules and lack the underlying general domain knowledge that applies across tasks. Second, because the underlying models are missing, shallow rules are unsupported and brittle.This paper describes a proposed second generation expert system architecture that addresses these problem by linking special-purpose rules to underlying domain models using a process called rule compilation. Rule compilation starts with a detailed domain model, and gradually incorporate various simplifying assumptions and approximations into the model, thereby producing a series of successively less general--but more task-efficient-- models of the domain. The end product of the rule compilation process is an associational rule model specialized for the task at hand. The process of rule compilation is illustrated with two simple implemented examples. In the first, a structure/behavior model of a simple engineered device is compiled into a set of fault localization rules for troubleshooting. In the second, the same underlying device model is complied into a set of plans for redesign.

KSL Technical Report ID: KSL-89-50
Facts about Compiling Diagnosis Rules and Redesign Plans from a StructureRDF feed
Abstract The current generation of expert systems i … The current generation of expert systems is fueled by special-purpose, task-specific associational rules developed with the aid of domain experts. In many cases, the expert has distilled or compiled these so-called "shallow" rules from "deeper" models of the application domain in order to optimize task performance. With the traditional knowledge engineering approach, only the shallow, special-purpose rules are elicited from the expert--not the underlying domain models upon which they are based. This results in two significant problem. First, expert systems cannot share knowledge bases because they contain only special-purpose rules and lack the underlying general domain knowledge that applies across tasks. Second, because the underlying models are missing, shallow rules are unsupported and brittle.This paper describes a proposed second generation expert system architecture that addresses these problem by linking special-purpose rules to underlying domain models using a process called rule compilation. Rule compilation starts with a detailed domain model, and gradually incorporate various simplifying assumptions and approximations into the model, thereby producing a series of successively less general--but more task-efficient-- models of the domain. The end product of the rule compilation process is an associational rule model specialized for the task at hand. The process of rule compilation is illustrated with two simple implemented examples. In the first, a structure/behavior model of a simple engineered device is compiled into a set of fault localization rules for troubleshooting. In the second, the same underlying device model is complied into a set of plans for redesign. complied into a set of plans for redesign.
Author Richard M. Keller and Catherine Baudin and Yumi Iwasaki and P. Pandurang Nayak and K. Tanaka  +
Bibtype techreport  +
Has author Richard M. Keller and Catherine Baudin and Yumi Iwasaki and P. Pandurang Nayak and K. Tanaka  +
Has identifier KSL-89-50  +
Has publishing details June,1989  +
Has title Compiling Diagnosis Rules and Redesign Plans from a Structure  +
Has where published KSL-89-50  +
Has year 1989  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-89-50  +
Month June  +
Number KSL-89-50  +
Process note NO  +
Title Compiling Diagnosis Rules and Redesign Plans from a Structure  +
Year 1989  +
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