A Framework for the Measurement of Simulated Behavior Performance

Abstract

Recent development in video games, simulation, training, and robotics has seen a push for greater visual and behavioral realism. As the reliance on high fidelity models in the education, training, and simulation communities to provide information used for strategic and tactical decisions rises, the importance of accuracy and credibility of simulated behavior increases. Credibility is typically established through verification and validation techniques. Increased interest exists in bringing behavior realism to the same level as the visual. Thus far validation process for behavioral models is unclear. With real world behavior a major goal, this research investigates the validation problem and provides a process for quantifying behavioral correctness. We design a representation of behavior based on kinematic features capturable from persistent sensors and develop a domain independent classification framework for the measuring of behavior replication. We demonstrate functionality through correct behavior comparison and evaluation of sample simulated behaviors.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2011
Accession Number
ADA540138

Entities

People

  • Christopher M. Cooper

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Computers
  • Department Of Defense
  • Governments
  • Human Behavior
  • Information Systems
  • Machine Learning
  • Military Science
  • Military Training
  • Pattern Recognition
  • Psychology
  • Reliability
  • Test And Evaluation
  • United States
  • United States Government
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Organizational Psychology.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Autonomy