Design of A Rule-Oriented System for Implementing Expertise
ResearchPublished 1979
ResearchPublished 1979
Describes the preliminary design of a Rule-Oriented System for Implementing Expertise (ROSIE). This system will serve as a tool for model builders seeking to apply expert knowledge to the analysis of problems and the evaluation of solutions in complex domains, especially domains for which useful analytic models are unavailable. Models built within the ROSIE system constitute simulations in the application domain. Control in these models is data-directed. That is, actions are specified by sets of rules having the basic form: "IF (conditions) THEN (actions)." The actions are executed when data matching the conditions appear in the model's data base. Major features of ROSIE include hierarchic structures on data elements and rules, user selection of rule-invocation strategies, user control of rule iteration, user control of rule and data activation, and sophisticated user support tools.
This publication is part of the RAND note series. The note was a product of RAND from 1979 to 1993 that reported miscellaneous outputs of sponsored research for general distribution.
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.