Books : Synthetic adversaries for urban combat training.: An article from: AI Magazine

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Author name: Robert E. Wray, John E. Laird, Andrew Nuxoll, Devvan Stokes, Alex Kerfoot

Books : Synthetic adversaries for urban combat training.: An article from: AI Magazine
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Type of bind: Digital
Format: HTML
Label: Thomson Gale
Manufacturer: Thomson Gale
Page Count: 23
Printing Date: September 22, 2005
Publishing house: Thomson Gale
Release Date: October 17, 2005
Studio: Thomson Gale






Editor's Notes and Comments:

Product Description:
This digital document is an article from AI Magazine, published by Thomson Gale on September 22, 2005. The length of the article is 6761 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: This article describes requirements for synthetic adversaries for urban combat training and a prototype application, MOUTBots. 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. The article describes how these components aided the development of the prototype and presents an initial evaluation against competence, taskability, fidelity, variability, transparency, and efficiency requirements.

Citation Details
Title: Synthetic adversaries for urban combat training.
Author: Robert E. Wray
Publication: AI Magazine (Magazine/Journal)
Date: September 22, 2005
Publishing house: Thomson Gale
Volume: 26 Issue: 3 Page: 82(11)

Distributed by Thomson Gale







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