Synthetic Adversaries for Urban Combat Training

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.

Cite

Text

Wray et al. "Synthetic Adversaries for Urban Combat Training." AAAI Conference on Artificial Intelligence, 2004. doi:10.1609/aimag.v26i3.1828

Markdown

[Wray et al. "Synthetic Adversaries for Urban Combat Training." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/wray2004aaai-synthetic/) doi:10.1609/aimag.v26i3.1828

BibTeX

@inproceedings{wray2004aaai-synthetic,
  title     = {{Synthetic Adversaries for Urban Combat Training}},
  author    = {Wray, Robert E. and Laird, John E. and Nuxoll, Andrew and Stokes, Devvan and Kerfoot, Alex},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {923-930},
  doi       = {10.1609/aimag.v26i3.1828},
  url       = {https://mlanthology.org/aaai/2004/wray2004aaai-synthetic/}
}