A competency-aware multi-agent framework for human-machine teams in adversarial environments
Abstract
In this project we will develop a competency-aware multi-agent multi-objective decision support framework for human-machine teams operating in dynamic contested environments. Within this framework, agent policies can be both learned and adapted, incorporating situation experience, other agents actions and their outcomes, and human feedback. Our proposed framework will support human decision makers to understand the likelihood of successful mission completion given actions from individual heterogeneous agents in complex, dynamic environments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 16, 2022
- Source ID
- FA23862114015
Entities
People
- Cindy Bethel
Organizations
- Air Force Office of Scientific Research
- Mississippi State University
- United States Air Force