Date of Award

3-11-2011

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

Brett Borghetti, PhD.

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.

AFIT Designator

AFIT-GCE-ENG-11-02

DTIC Accession Number

ADA540138

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