Synthetic adversaries for urban combat training

Authors:
Robert E. Wray;John E. Laird;Andrew Nuxoll;Devvan Stokes;Alex Kerfoot
Affiliations:
Soar Technology, Inc., Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI;University of Michigan, Ann Arbor, MI
Venue:
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Year:
2004

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Abstract

This paper describes requirements for synthetic adversaries for urban combat training and MOUTBots, a prototype application. The MOUTBots use a commercial computer game to define, implement and test basic behavior representation requirements and the Soar architecture as the engine for knowledge representation and execution. We describe how these components aided the development of the prototype and present an initial evaluation against competence, taskability, fidelity, variability, transparency, and efficiency requirements.