Paper Info
Title
Automated knowledge acquisition for strategic knowledge
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. 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 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.
Year
DOI
Venue
1989
10.1007/BF00130716
Readings in knowledge acquisition and learning
Keywords
Field
DocType
knowledge acquisition,knowledge engineering,human–computer interaction,strategic knowledge,knowledge representation
Procedural knowledge,Body of knowledge,Knowledge integration,Domain knowledge,Computer science,Knowledge management,Knowledge-based systems,Knowledge value chain,Knowledge engineering,Knowledge acquisition
Journal
Volume
Issue
ISSN
4
3-4
1573-0565
ISBN
Citations 
PageRank 
1-55860-163-5
22
4.03
References 
Authors
41
1
Name
Order
Citations
PageRank
Thomas R. Gruber12235272.54