Enhancing Simulation-Based Training Adversary Tactics Via Evolution (ESTATE)

Abstract

The following is the Contractor's Quarterly Status Report for the subject contract for the indicated period. During this reporting period work has concentrated on Task 2: Develop Mitigation Methods, Task 3: Enhance Adaptation Techniques, and Task 4: Develop Trainee Model Processing. During this reporting period, we researched, implemented, and evaluated a method for coevolution of strategy based game players and game challenges to prepare for use in ESTATE-based training. We also mined the existing MoneyBee data set with our academic partner, Brandeis University.

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Document Details

Document Type
Technical Report
Publication Date
Mar 15, 2010
Accession Number
ADA515857

Entities

People

  • Brad R Rosenberg

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Training
  • Algorithms
  • Computations
  • Contracts
  • Data Analysis
  • Data Sets
  • Demographic Cohorts
  • Evolutionary Algorithms
  • Game Theory
  • Graphs
  • Numbers
  • Personal Information Managers
  • Simulations
  • Students
  • Trainees
  • Training
  • Visualizations

Readers

  • Neural Network Machine Learning.
  • STEM Education
  • Technical Research and Report Writing.