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.
This report is part of the RAND Corporation Report series. The report was a product of the RAND Corporation from 1948 to 1993 that represented the principal publication documenting and transmitting RAND's major research findings and final research.
Our mission to help improve policy and decisionmaking through research and analysis is enabled through our core values of quality and objectivity and our unwavering commitment to the highest level of integrity and ethical behavior. To help ensure our research and analysis are rigorous, objective, and nonpartisan, we subject our research publications to a robust and exacting quality-assurance process; avoid both the appearance and reality of financial and other conflicts of interest through staff training, project screening, and a policy of mandatory disclosure; and pursue transparency in our research engagements through our commitment to the open publication of our research findings and recommendations, disclosure of the source of funding of published research, and policies to ensure intellectual independence. For more information, visit www.rand.org/about/research-integrity.
The RAND Corporation 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.