A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat
Abstract
We describe the Tactical Battle Manager (TBM), an intelligent agent that uses several integrated artificial intelligence techniques to control an autonomous unmanned aerial vehicle in simulated beyond-visual-range (BVR) air combat scenarios. The TBM incorporates goal reasoning, automated planning, opponent behavior recognition, state prediction, and discrepancy detection to operate in a real-time, dynamic, uncertain, and adversarial environment. We describe evidence from our empirical study that the TBM significantly outperforms an expert-scripted agent in BVR scenarios. We also report the results of an ablation study which indicates that all components of our agent architecture are needed to maximize mission performance.
Cite
Text
Floyd et al. "A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/657Markdown
[Floyd et al. "A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/floyd2017ijcai-goal/) doi:10.24963/IJCAI.2017/657BibTeX
@inproceedings{floyd2017ijcai-goal,
title = {{A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat}},
author = {Floyd, Michael W. and Karneeb, Justin and Moore, Philip and Aha, David W.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2017},
pages = {4714-4721},
doi = {10.24963/IJCAI.2017/657},
url = {https://mlanthology.org/ijcai/2017/floyd2017ijcai-goal/}
}