Understanding Optimal Decision-making in War-gaming II

Abstract

The purpose of this memorandum is to provide documentation of research for the Army Research Office (ARO) by the TRADOC Analysis Center, Monterey (TRAC-MTRY). The focus of the research is to develop a model that represents the relationship between neurophysiological metrics and optimal decision making. The research team modified two well-known psychological tests for a military context. The Iowa Gambling Task (IGT) was modified to assess reinforcement learning and the Wisconsin Card Sorting Test (WCST) was modified to assess cognitive flexibility. The tests were administered to 34 military officers across all services. Based on the results of the IGT and WCST, the research team also developed the Cognitive Alignment With Performance Targeted Training Intervention Model (CAPTTIM) to assess the relationship between a subject's cognitive state and their observed performance. Through analyzing reinforcement learning and cognitive flexibility, the CAPTTIM can be used to provide a real-time notification of when a training intervention is required and the type of training intervention necessary. The results indicate that the modified versions of the IGT and WCST along with the CAPTTIM can be as an objective assessment tool in conjunction with other virtual and live military decision making training.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA614320

Entities

People

  • Cardy Moten Iii

Organizations

  • United States Army Training and Doctrine Command

Tags

DTIC Thesaurus Topics

  • Case Studies
  • Cognitive Workload
  • Data Analysis
  • Data Mining
  • Data Science
  • Department Of Defense
  • Detection
  • Experimental Design
  • Information Science
  • Intervention
  • Learning
  • Military Research
  • Operations Research
  • Psychology
  • Reinforcement Learning
  • Statistical Analysis
  • Training

Readers

  • Military Training and Readiness Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML