Applications of Brain-Inspired Intelligence
in Intelligentization of Command
and Control System
Shuangling Wang
(&) , Chao Liu, Songhua Huang, and Kan Yi
Science and Technology on Information Systems Engineering Key Laboratory,
Nanjing, Jiangsu 210007, China
wsltongxin@163.com
Abstract. In this paper, we analyze the development tendency of the intelligentization of command and control system and explore the application
advantages of brain-inspired intelligence over traditional artificial intelligence
methods in the intelligentization of command and control system. We also
present a new approach through which general intelligence and system intelligence can be realized in command and control systems, and provide the evolution path of the invocation pattern of intelligent algorithms in command and
control system.
Keywords: Command and control system Á Brain-inspired intelligence Á
Military intelligence
1 Introduction
Recently, artificial intelligence (AI) and related techniques are penetrating into military
applications step by step. AI is regarded as a representative technique that drives the
organization of warfare forms to transform from data center and information center into
cognition/action center. It will promote the evolution of command and control system
from information-oriented to intelligence-oriented [1].
The discipline of AI origins from the vision that intelligent systems can think as
humans do in the future [2]. After its first proposition in 1956, there have been two
distinct comprehensions toward the discipline of AI, namely, the view of engineering
and the view of science. The view of engineering considers AI as an important branch
of computer science, aimed at enabling machines fulfill tasks which only human beings
can do, by means of computer programming. The category of view of engineering
ranges from the initial expert system to the recent fast-growing deep neural networks.
In contrast, the view of science considers AI as part of cognition science. It emphasizes
that AI must base on the cognition principles of human beings, or it cannot be termed
as AI [3].
Inspired by the information processing mechanism of brains [4, 5], brain-inspired
intelligence is a branch of AI which falls under the category of the view of science.
Borrowing the experiences from cranial nerve mechanism and cognitive behavior
mechanism, it achieves the effect of machine learning by investigating the biological
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 385–390, 2020.
https://doi.org/10.1007/978-981-15-0187-6_45
in Intelligentization of Command
and Control System
Shuangling Wang
(&) , Chao Liu, Songhua Huang, and Kan Yi
Science and Technology on Information Systems Engineering Key Laboratory,
Nanjing, Jiangsu 210007, China
wsltongxin@163.com
Abstract. In this paper, we analyze the development tendency of the intelligentization of command and control system and explore the application
advantages of brain-inspired intelligence over traditional artificial intelligence
methods in the intelligentization of command and control system. We also
present a new approach through which general intelligence and system intelligence can be realized in command and control systems, and provide the evolution path of the invocation pattern of intelligent algorithms in command and
control system.
Keywords: Command and control system Á Brain-inspired intelligence Á
Military intelligence
1 Introduction
Recently, artificial intelligence (AI) and related techniques are penetrating into military
applications step by step. AI is regarded as a representative technique that drives the
organization of warfare forms to transform from data center and information center into
cognition/action center. It will promote the evolution of command and control system
from information-oriented to intelligence-oriented [1].
The discipline of AI origins from the vision that intelligent systems can think as
humans do in the future [2]. After its first proposition in 1956, there have been two
distinct comprehensions toward the discipline of AI, namely, the view of engineering
and the view of science. The view of engineering considers AI as an important branch
of computer science, aimed at enabling machines fulfill tasks which only human beings
can do, by means of computer programming. The category of view of engineering
ranges from the initial expert system to the recent fast-growing deep neural networks.
In contrast, the view of science considers AI as part of cognition science. It emphasizes
that AI must base on the cognition principles of human beings, or it cannot be termed
as AI [3].
Inspired by the information processing mechanism of brains [4, 5], brain-inspired
intelligence is a branch of AI which falls under the category of the view of science.
Borrowing the experiences from cranial nerve mechanism and cognitive behavior
mechanism, it achieves the effect of machine learning by investigating the biological
© Springer Nature Singapore Pte Ltd. 2020
Q. Liang et al. (Eds.): Artificial Intelligence in China, LNEE 572, pp. 385–390, 2020.
https://doi.org/10.1007/978-981-15-0187-6_45