Understanding Optimal Military Decision Making: Year 2 Progress Report

Abstract

This 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 report preliminary results from a study in which 34 military officers completed military-relevant tasks that tap into reinforcement learning and cognitive flexibility, while their eye gaze and brain activity was monitored via eye-tracking and electroencephalography (EEG) technology. Results indicated that the tasks successfully elicited reinforcement learning and cognitive flexibility, and that a suitable range of variability in performance occurred. Preliminary results of eye tracking provided insight into which pieces of information the subjects used in making their decisions. Several statistical methods for modeling the transition from naive decision making to experienced decision making are examined.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA622055

Entities

People

  • Jon Alt
  • Peter Nesbitt
  • Quinn Kennedy
  • Ron Fricker

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Brain Injuries
  • Cognitive Workload
  • Computers
  • Demography
  • Descriptive Analytics
  • Graphics
  • Information Science
  • Mental Processes
  • Military Personnel
  • Operating Systems
  • Operations Research
  • Perception
  • Psychology
  • Statistics
  • Students
  • Surveys

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.

Technology Areas

  • AI & ML