Artificial intelligence as the basis of future control networks

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DOI: 10.13140/RG.2.2.30247.50087
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Abstract
The implementation of Artificial Intelligence (AI) is an important trend in the development of battlefield and weapons control systems. The main applications of Artificial Intelligence and Machine Learning are to enhance C2, Communications, Sensors, Integration and Interoperability. On the basis of Artificial Intelligence (AI) and Machine Learning (ML) with Microsoft Common Objects in Context (MS-COCO) or Limpid Armor Inc. (Ukraine) technologies the Synthesis of Augmented Reality Symbols can be provided. It enables target acquisition, targeting of moving targets (single or swarm), coordination and deconfliction of distributed Join Fires between networked combat vehicles, tanks, ships etc. also inside Manned and Unmanned Teams (MUM-T).
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Slyusar V.I. Doctor of Technical Science, Prof
Ministry of Defense of Ukraine (Central Research Institute of armament and military
equipment of the Armed Forces of Ukraine)
Artificial intelligence as the basis of future control networks
The implementation of Artificial Intelligence (AI) is an important trend in the
development of battlefield and weapons control systems. NATO experts use two
alternative definitions of artificial intelligence (NIAG StudyGroup SG-238
“GBAD Operations against the 21st Century Peer Nation Cruise Missile and
Unmanned Aerial Systems (UAS)”):
AI is the capability provided by algorithms of selecting optimal or sub-
optimal choices from a wide possibility space, in order to achieve goals by
applying strategies which can include learning or adapting to the environment;
Artificial intelligence (AI) refers to systems designed by humans that, given
a complex goal, act in the physical or digital world by perceiving their
environment, interpreting the collected structured or unstructured data, reasoning
on the knowledge derived from this data and deciding the best action(s) to take
(according to pre-defined parameters) to achieve the given goal. AI systems can
also be designed to learn to adapt their behavior by analyzing how the environment
is affected by their previous actions.
As a scientific discipline AI includes several approaches and techniques, such
as: machine learning (deep learning and reinforcement learning),
machine reasoning (planning, scheduling, knowledge representation and
reasoning, search, and optimization),
robotics (control, perception, sensors and actuators, as well as the integration
of all other techniques into cyber-physical systems).
AI is useful in particular with respect to Human resources & manning
requirements: making (heterogeneous) systems work together; data exchange;
command coordination; target allocation (also between nations); working with
fewer resources; taking the man on/over the loop; coordination of sensors and
effectors; threat detection and identification; semi-autonomous weapon allocation;
improving timeliness (fast threat, pop up, numerous threat); derivation of intent,
situational awareness and evaluation.
The main applications of Artificial Intelligence and Machine Learning are to
enhance C2, Communications, Sensors, Integration and Interoperability.
On the basis of Artificial Intelligence (AI) and Machine Learning (ML) with
Microsoft Common Objects in Context (MS-COCO) or Limpid Armor Inc.
(Ukraine) technologies the Synthesis of Augmented Reality Symbols can be
provided. It enables target acquisition, targeting of moving targets (single or
swarm), coordination and deconfliction of distributed Join Fires between
networked combat vehicles, tanks, ships etc. also inside Manned and Unmanned
Teams (MUM-T).
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