Modeling fog of war effects in AFSIM

Dillon Tryhorn, Richard Dill, Douglas D Hodson, Michael R Grimaila and Christopher W Myers

The Journal of Defense Modeling and Simulation, 2023, vol. 20, issue 2, 131-146

Abstract: This research identifies specific communication sensor features vulnerable to fog and provides a method to introduce them into an Advanced Framework for Simulation, Integration, and Modeling (AFSIM) wargame scenario. Military leaders use multiple information sources about the battlespace to make timely decisions that advance their operational objectives while attempting to deny their opponent’s actions. Unfortunately, the complexities of battle combined with uncertainty in situational awareness of the battlespace, too much or too little intelligence, and the opponent’s intentional interference with friendly command and control actions yield an abstract layer of battlespace fog. Decision-makers must understand, characterize and overcome this “battlespace fog†to accomplish operational objectives. This research proposes a novel tool, the Fog Analysis Tool (FAT), to automatically compile a list of communication and sensor objects within a scenario and list options that may impact decision-making processes. FAT improves wargame realism by introducing and standardizing fog levels across communication links and sensor feeds in an AFSIM scenario. Research results confirm that FAT provides significant benefits and enables the measurement of fog impacts to tactical command and control decisions within AFSIM scenarios.

Keywords: Fog of war; wargame; command and control; modeling and simulation; air defense (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/15485129211041963 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:20:y:2023:i:2:p:131-146

DOI: 10.1177/15485129211041963

Access Statistics for this article

More articles in The Journal of Defense Modeling and Simulation
Bibliographic data for series maintained by SAGE Publications ().