Exploring Fog of War Concepts in Wargame Scenarios

Abstract

This thesis explores fog of war concepts through three submitted journal articles. The Department of Defense and U.S. Air Force are attempting to analyze war scenarios to aid the decision-making process; fog modeling improves realism in these wargame scenarios. The first article \Navigating an Enemy Contested Area with a Parallel Search Algorithm" [1] investigates a parallel algorithm's speedup, compared to the sequential implementation, with varying map configurations in a tile-based wargame. The parallel speedup tends to exceed 50 but in certain situations. The sequential algorithm outperforms it depending on the configuration of enemy location and amount on the map. The second article \Modeling Fog of War Effects in AFSIM" [2] introduces the FAT for the AFSIM to introduce and manipulate fog in wargame scenarios. FAT integrates into AFSIM version 2.7.0 and scenario results verify the tool's fog effects for positioning error, hits, and probability affect the success rate. The third article "Applying Fog Analysis Tool to AFSIM Multi-Domain CLASS scenarios" [3] furthers the verification of FAT to introduce fog across all war fighting domains using a set of CLASS scenarios. The success rate trends with fog impact for each domain scenario support FAT's effectiveness in disrupting the decision-making process for multi-domain operations. The three articles demonstrate fog can affect search, tasking, and decision-making processes for various types of wargame scenarios. The capabilities introduced in this thesis support wargame analysts to improve decision-making in AFSIM military scenarios.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1135178

Entities

People

  • Dillon N. Tryhorn

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Cyber
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Command And Control
  • Computer Programs
  • Computer Science
  • Department Of Defense
  • Detection
  • Governments
  • Information Operations
  • Military Science
  • Multi-Domain Operations
  • National Governments
  • Parallel Computing
  • Radar
  • United States
  • Warfare

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Military History / Militaries and War Studies