A Framework for Applying Artificial Intelligence Algorithms in Command and Control Systems

The rapid development of artificial intelligence (AI) technology has driven substantial transformations across various sectors of commercial society. However, the successful application of AI System in the command and control (C2) domain remains relatively limited. Therefore, this paper presents a viable analytical framework aimed at establishing a mapping relationship between the characteristics of C2 problems and the required AI capabilities. This framework utilizes a structured approach to quantitatively evaluate how AI algorithms can be effectively applied in different C2 domains.

Authors

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3709026.3709077
Citations
1
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.35
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article

A Framework for Applying Artificial Intelligence Algorithms in Command and Control Systems

Xuan Zhou, Xiao Bo
1 citations
Reinforcement Learning in Robotics
0.35
article

A Framework for Applying Artificial Intelligence Algorithms in Command and Control Systems

Xuan Zhou, Xiao Bo
article en
1 citations

Abstract

The rapid development of artificial intelligence (AI) technology has driven substantial transformations across various sectors of commercial society. However, the successful application of AI System in the command and control (C2) domain remains relatively limited. Therefore, this paper presents a viable analytical framework aimed at establishing a mapping relationship between the characteristics of C2 problems and the required AI capabilities. This framework utilizes a structured approach to quantitatively evaluate how AI algorithms can be effectively applied in different C2 domains.

Openalex Percentile: Top 29%
Reinforcement Learning in Robotics
0.35
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