<abstract xmlns="http://www.w3.org/1999/xhtml"><p>While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we explore new methods that use simulations for decision support during the execution of military operations. During this phase, the commander makes decisions based on knowledge of the situation and the primary objectives. We propose here to take a simulation containing smart and autonomous units, and use it to create new kinds of decision support tools capable of improving situation awareness, and consequently the quality of decisions. The breakthrough behind this initiative is the realization that we can provide HQ decision makers with access to a version of the information that smart simulated units use to make decisions. To ensure the approach was sound we first studied decision-making processes, and analyzed how situation awareness improves decision-making. After analysis of the decision-making processes at various headquarters, and the types of decision criteria employed, we are able to produce innovative information, computed by the simulation, and fed by the command and control system. We then propose a prerequisite architecture and describe the first results of our proof of concept work based on the SWORD (Simulation War gaming for Operational Research and Doctrine) simulation.</p></abstract>

While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we explore new methods that use simulations for decision support during the execution of military operations. During this phase, the commander makes decisions based on knowledge of the situation and the primary objectives. We propose here to take a simulation containing smart and autonomous units, and use it to create new kinds of decision support tools capable of improving situation awareness, and consequently the quality of decisions. The breakthrough behind this initiative is the realization that we can provide HQ decision makers with access to a version of the information that smart simulated units use to make decisions. To ensure the approach was sound we first studied decision-making processes, and analyzed how situation awareness improves decision-making. After analysis of the decision-making processes at various headquarters, and the types of decision criteria employed, we are able to produce innovative information, computed by the simulation, and fed by the command and control system. We then propose a prerequisite architecture and describe the first results of our proof of concept work based on the SWORD (Simulation War gaming for Operational Research and Doctrine) simulation.

Smart Simulation for Decision Support at Headquarters

International conference KNOWLEDGE-BASED ORGANIZATION

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Smart Simulation for Decision Support at Headquarters"}

While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we...

Smart Simulation for Decision Support at Headquarters

Publicado en línea: 23 jul 2019

Páginas: 81 - 90

DOI: https://doi.org/10.2478/kbo-2019-0122

Palabras clave
simulation, Headquarters, decision support, artificial intelligence

© 2019 Ariane Bitoun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Smart Simulation for Decision Support at Headquarters

Publicado en línea: 23 jul 2019

Páginas: 81 - 90

DOI: https://doi.org/10.2478/kbo-2019-0122

Palabras clavesimulation, Headquarters, decision support, artificial intelligence

© 2019 Ariane Bitoun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
simulation, Headquarters, decision support, artificial intelligence