Enhancing Simulation-based Training Adversary Tactics via Evolution (ESTATE)

Abstract

During this reporting period we have concentrated on Task 4: Develop Trainee Model Processing. During our previous reporting period, our analyses indicated that under the MoneyBee experiment, students were learning through challenges, solving more difficult problems in less time as they gained experience. Our next step was then to understand the strategies employed by students to create models of different players for future experimentation. To understand the strategies employed, we improved upon our graph-based visualization of the strategy space to focus on perceptual methods for presenting the paths taken by players through the game state space.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2010
Accession Number
ADA529080

Entities

People

  • Brad R Rosenberg

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Brightness
  • Contracts
  • Governments
  • Information Operations
  • Learning
  • Personal Information Managers
  • Sequences
  • Simulations
  • Students
  • Trainees
  • Training
  • Transitions
  • Visualizations

Fields of Study

  • Computer science

Readers

  • STEM Education
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space