This report describes a collection of computer-based tools and techniques developed to permit complex simulations and expert systems to be the basis for intelligent training systems. The goal of the training environment is to help naive users of such software to learn the sophisticated knowledge it contains by supplying them with computer-based aids that facilitate learning through practice. The author built these general tools for learning in the context of a specific complex learning situation: Using SWIRL, a strategic war-gaming simulation written at RAND in ROSS, an object-oriented simulation language that is also a result of RAND research, the author set out to provide an environment in which students who are relatively naive about computers and military strategy can interactively learn to make military strategic decisions as well as (if not better than) the simple experts in SWIRL.
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.
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.
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.