Accession Number : AD1051610

Title :   A Stochastic Model of Plausibility in Live Virtual Constructive Environments

Descriptive Note : Technical Report,01 Sep 2012,30 Sep 2017

Corporate Author : Air Force Institute of Technology Wright-Patterson AFB United States

Personal Author(s) : Millar, Jeremy R

Full Text :

Report Date : 14 Sep 2017

Pagination or Media Count : 124

Abstract : Distributed live-virtual-constructive simulation promises a number of benefits for the test and evaluation community. However, geographically distributed systems are subject to fundamental state consistency limitations that make assessing the data quality of live-virtual-constructive experiments difficult. This research presents a data quality model based on the notion of plausible interaction outcomes. This model accounts for the lack of consistency in distributed real-time systems and offers system designers a means of estimating data quality and fitness for purpose. Experiments with trace data validate the plausibility model and exceedance probability estimates.

Descriptors :   stochastic processes , mathematical models , computer simulations , virtual reality , operations research , evolutionary algorithms , random variables , multiobjective optimization , databases , algorithms , accuracy , systems engineering , combat simulations

Subject Categories : Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE