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

Abstract

During this reporting period, we extended our work in the conceptual formulation of ESTATE for Challenge/Response games. We explored and refined aspects of item response theory to support assessment and learning Challenge/Response games. We constructed multiple simulations to test our theoretical hypotheses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2009
Accession Number
ADA506226

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computational Science
  • Distribution Functions
  • Errors
  • Gaussian Distributions
  • Learning
  • Mathematical Models
  • Models
  • Normal Distribution
  • Numbers
  • Personal Information Managers
  • Precision
  • Probability
  • Random Variables
  • Simulations
  • Standards
  • Trainees
  • Training

Readers

  • Instructional Design and Training Evaluation.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.
  • Systems Analysis and Design