Understanding Optimal Decision-Making in Wargaming
Abstract
The research aims to gain insight into optimal wargaming decision making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; ie, the transition from exploring the environment to exploiting the environment. In this report, we first describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2013
- Accession Number
- ADA587848
Entities
People
- Jeff Appleget
- Jesse Huston
- Ji H. Yang
- Jonathan Alt
- Lee Whitaker
- Peter Nesbitt
- Quinn Kennedy
- Ron Fricker
- Scott Patton
Organizations
- United States Army Training and Doctrine Command