The Effect of Modeling Simultaneous Events on Simulation Results

Abstract

This thesis explores the method that governs the prioritizing process for simultaneous events in relation to simulation results for discrete-event simulations. Specifically, it contrasts typical discrete-event simulation (DES) execution algorithms with how events are selected and ordered by the discrete-event system specification (DEVS) formalism. The motivation for this research stems from a desire to understand how the selection of events affects simulation output (i.e., response). As a particular use case, we briefly investigate the processing of simultaneous events by the Advanced Framework for Simulation, Integration and Modeling (AFSIM), a military discrete-event combat modeling and simulation package. To facilitate the building of classic DEVS-based models, the python software package PythonPDEVS is used. Initial results indicate that the explicit modeling of how simultaneous events are selected as promoted by the DEVS formalism plays a significant role on simulation results.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1074721

Entities

People

  • John M Carboni

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computer Simulations
  • Computers
  • Department Of Defense
  • Governments
  • Manufacturing
  • Mathematical Models
  • Motivation
  • Python Programming Language
  • Simulations
  • Standards
  • United States
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design