Automated Knowledge Acquisition for Strategic Knowledge

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Citation: Thomas R. Gruber. (1989) Automated Knowledge Acquisition for Strategic Knowledge. In KSL-89-12, May,1989.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Thomas R. Gruber
title Automated Knowledge Acquisition for Strategic Knowledge
number KSL-89-12
institution Knowledge Systems, AI Laboratory
year 1989
month May
Bibtex more
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abstract Strategic knowledge is used by an agent to decide what action to perform next,where actions have consequences external to the agent. This article presents a computer-mediated method for acquiring strategic knowledge from people. The general knowledge acquisition problem and the special difficulties of acquiring strategic knowledge are analyzed in terms of representation mismatch: the difference between the form in which knowledge is available from the world and the form required for knowledge systems. ASK is an interactive knowledge acquisition tool that is designed to address representation mismatch. ASK elicits strategic knowledge from people in the form of justifications for action choices, and generates strategy rules that operationalize and generalize the expert's advice. The basic approach is demonstrated with a human-computer dialog in which ASK acquires strategic knowledge for medical diagnosis and treatment. The rationale for and consequences of specific design decisions in ASK are analyzed, and the scope of applicability and limitations of the approach are assessed. The paper concludes by discussing the contribution of knowledge representation to automated knowledge acquisition.

KSL Technical Report ID: KSL-89-12
Facts about Automated Knowledge Acquisition for Strategic KnowledgeRDF feed
Abstract Strategic knowledge is used by an agent to … Strategic knowledge is used by an agent to decide what action to perform next,where actions have consequences external to the agent. This article presents a computer-mediated method for acquiring strategic knowledge from people. The general knowledge acquisition problem and the special difficulties of acquiring strategic knowledge are analyzed in terms of representation mismatch: the difference between the form in which knowledge is available from the world and the form required for knowledge systems. ASK is an interactive knowledge acquisition tool that is designed to address representation mismatch. ASK elicits strategic knowledge from people in the form of justifications for action choices, and generates strategy rules that operationalize and generalize the expert's advice. The basic approach is demonstrated with a human-computer dialog in which ASK acquires strategic knowledge for medical diagnosis and treatment. The rationale for and consequences of specific design decisions in ASK are analyzed, and the scope of applicability and limitations of the approach are assessed. The paper concludes by discussing the contribution of knowledge representation to automated knowledge acquisition. tation to automated knowledge acquisition.
Author Thomas R. Gruber  +
Bibtype techreport  +
Has author Thomas R. Gruber  +
Has identifier KSL-89-12  +
Has publishing details May,1989  +
Has title Automated Knowledge Acquisition for Strategic Knowledge  +
Has where published KSL-89-12  +
Has year 1989  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-89-12  +
Month May  +
Number KSL-89-12  +
Process note NO  +
Title Automated Knowledge Acquisition for Strategic Knowledge  +
Year 1989  +
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