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 : http://www.dtic.mil/dtic/tr/fulltext/u2/1051610.pdf


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