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

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
Publisher: Thomson Gale
Volume: 26 Issue: 3 Page: 82(11)

Distributed by Thomson Gale