Building, Learning, and Tutoring Tools for Object-oriented Simulation Systems
This report describes a collection of computer-based tools and techniques being 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 the naive user of such software to learn the sophisticated knowledge it contains. The research strategy was to develop these tools for learning in the context of a specific complex learning situation; the focus is on SWIRL, a strategic war-gaming simulation written at RAND in ROSS, an object-oriented simulation language. This report describes the tools implemented to aid students in learning the objects and strategies that compose SWIRL, including the facilities to create scenarios interactively, inspect simulation objects, dynamically modify object behaviors, and perform experiments various military strategies. The aim is to teach students to make military strategic decisions as well as the experts in SWIRL.
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A view of a typical SWIRL scenario showing penetrators
DESIRED FUNCTIONALITY OF THE SWIRLBASED
LEARNING AND TUTORING TOOLS
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actions active tutors args artifactual behaviors associated automated basic behaviors and parameters command center computation configurations and strategies decisionmaking knowledge defensive configuration define dents dependent parameter embed endgame example expert system fighter base fighter engage penetrator Fighter-loiter-strategy filter center filter-center fixp flight plans goals hypotheses Intelligent Tutoring Systems interactive Klahr learning and tutoring learning environment message name military strategy model physical models modified mouse moving-object nil type dependent number of missiles object parameters object-oriented languages object-oriented simulation language offensive parameter values parameters and behaviors problem space radar RAND real-world reflect physical represent returns to base ROSS and SWIRL semantic sending object simulation primitives skill slots specific strategic behaviors strategic decisions strategic ideas strategic knowledge strategic parameters strategy nodes SWIRL AND ROSS SWIRL behaviors technological xonstraint lambda tegic tion tools that help tutoring environment tutoring systems type technological xonstraint updating xonstraint lambda x zetalisp