An explanation facility for the ROSIE knowledge engineering language

Bruce Florman, James R. Kipps, Jody Paul, D. A. Waterman

ResearchPublished 1986

This report describes the design and implementation of an explanation facility for the Rule-Oriented System for Implementing Expertise (ROSIE) knowledge engineering language, an expert system building environment developed at The RAND Corporation. An explanation facility is critical in the construction and utilization of an expert system, since it provides the mechanisms by which the expert system can explain its performance. These mechanisms typically show the user (1) why and how the expert system reached a given conclusion, (2) why the system asked for particular information, (3) how rules and data got added to the knowledge base, (4) what is the purpose of a rule or ruleset, and (5) why the use of a rule is justified.

Order a Print Copy

Format
Paperback
Page count
39 pages
List Price
$20.00
Buy link
Add to Cart

Document Details

  • Availability: Available
  • Year: 1986
  • Print Format: Paperback
  • Paperback Pages: 39
  • Paperback Price: $20.00
  • Paperback ISBN/EAN: 978-0-8330-0759-9
  • Document Number: R-3406-ARPA/RC

Citation

RAND Style Manual
Florman, Bruce, James R. Kipps, Jody Paul, and D. A. Waterman, An explanation facility for the ROSIE knowledge engineering language, RAND Corporation, R-3406-ARPA/RC, 1986. As of September 24, 2024: https://www.rand.org/pubs/reports/R3406.html
Chicago Manual of Style
Florman, Bruce, James R. Kipps, Jody Paul, and D. A. Waterman, An explanation facility for the ROSIE knowledge engineering language. Santa Monica, CA: RAND Corporation, 1986. https://www.rand.org/pubs/reports/R3406.html. Also available in print form.
BibTeX RIS

This publication is part of the RAND report series. The report series, a product of RAND from 1948 to 1993, represented the principal publication documenting and transmitting RAND's major research findings and final research.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.