A Stochastic Model of Plausibility in Live Virtual Constructive Environments

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 14, 2017
Accession Number
AD1051610

Entities

People

  • Jeremy R Millar

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computational Science
  • Computer Science
  • Computer Simulations
  • Databases
  • Electronic Mail
  • Engineers
  • Evolutionary Algorithms
  • Industrial Engineering
  • Mathematical Models
  • Network Science
  • Operations Research
  • Surveys
  • Systems Engineering
  • Test And Evaluation
  • Virtual Reality

Fields of Study

  • Computer science

Readers

  • Military Training and Readiness Simulation
  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.