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Automating Knowledge Acquisition for Expert Systems

In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industr...

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Bibliographic Details
Other Authors: Marcus, Sandra (Editor)
Format: eBook
Language:English
Published: New York, NY Springer US 1988, 1988
Edition:1st ed. 1988
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Artificial Intelligence
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 8.1. Introduction
  • 8.2. A Few Data Points
  • 8.3. Conclusions
  • References
  • 1. Introduction
  • 2. MORE: From Observing Knowledge Engineers to Automating Knowledge Acquisition
  • 2.1. Introduction
  • 2.2. Strategies for Knowledge Acquisition
  • 2.3. Knowledge Representation
  • 2.4. From Event Model to Rules
  • 2.5. Strategy Evocation and Implementation — Advice for Improving the Knowledge Base
  • 2.6. The Problem-Solver Revisited
  • 2.7. Learning from MORE
  • 2.8. Conclusion
  • 3. MOLE: A Knowledge-Acquisition Tool for Cover-and-Differentiate Systems
  • 3.1. Introduction
  • 3.2. MOLE’s Problem-Solving Method and Knowledge Roles
  • 3.3. Acquiring the Knowledge Base
  • 3.4. Handling Uncertainty
  • 3.5. Identifying Weaknesses in the Knowledge Base
  • 3.6. MOLE’s Scope
  • 3.7. Conclusion
  • 4. SALT: A Knowledge-Acquisition Tool for Propose-and-Revise Systems
  • 4.1. Introduction
  • 4.2. Acquiring Relevant Knowledge Pieces
  • 4.3. Analyzing How the Pieces Fit Together
  • 4.4. Compiling the Knowledge Base
  • 4.5. Explaining Problem-Solving Decisions
  • 4.6. Evaluating Test Case Coverage
  • 4.7. Understanding SALT’s Scope
  • 4.8. Conclusion
  • 5. KNACK: Sample-Driven Knowledge Acquisition for Reporting Systems
  • 5.1. Introduction
  • 5.2. The Presupposed Problem-Solving Method and Its Knowledge Roles
  • 5.3. Acquiring Knowledge
  • 5.4. Analyzing the Knowledge Base
  • 5.5. Rule Generation
  • 5.6. Combining Problem-Solving Methods
  • 5.7. KNACK’s Scope
  • 5.8. Conclusion
  • 6. SIZZLE: A Knowledge-Acquisition Tool Specialized for the Sizing Task
  • 6.1. Introduction
  • 6.2. Problem-Solving Strategies for Sizing
  • 6.3. Using SIZZLE
  • 6.4. Knowledge Representation and Proceduralization
  • 6.5. The Scope of the Knowledge-Acquisition Tool
  • 6.6. Conclusion
  • 7. RIME: Preliminary Work Toward a Knowledge-Acquisition Tool
  • 7.1. Introduction
  • 7.2. A Knowledge-Acquisition Tool for XCON?.-7.3. What is RIME?
  • 7.4. Scope of Applicability
  • 7.5. Future Directions
  • 8. Preliminary Steps Toward a Taxonomy of Problem-Solving Methods

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