Research Article
Open Access
Intelligent System Architecture Based on System Theory
1
Hanjiang Laboratory, Wuhan 430060, China
2
715th Research Institute of CSSC, Hangzhou 310023, China
3
Sensetime Technology Co., Ltd., Shenzhen 518000, China
* Corresponding Authors:
Fuhu Chen,
[email protected]; Zhe Wang,
[email protected]
Volume 2, Issue 1
2025
Received: 04 November 2024
Accepted: 06 January 2025
Published: 23 January 2025
Article Information
Abstract
Intelligent system is a research field that attracts much attention at present. Most of the researches on intelligent system focus on intelligent technology and its application. However, an intelligent system is first of all a system, which means it should have the characteristics of a system. Design of conventional system is mainly function- or task-oriented, and adaptation to environment is passive, static and regular. However, intelligent system is faced with a complex, random and dynamic environment, and has dynamic interaction with the environment. Behind this interaction behavior is a fusion of perception, cognition, and decision-making processes, supported by multi-source information fusion techniques. Therefore, intelligent system design needs to be oriented towards system behavior, where information fusion plays a crucial role in integrating heterogeneous data for coherent situational awareness. This paper will examine intelligent system from the perspective of system behavior characteristics, and put forward a new definition of intelligent system based on information fusion principles. The core feature of intelligent system is intelligence, which relies on advanced fusion algorithms to combine sensory inputs, knowledge, and contextual information. To construct an intelligent system, we develop a framework of five core capabilities, aligning with the traditional Chinese philosophical fusion of knowledge and action – the Unity of Knowledge and Action. Finally, we give a design case of an intelligent system (intelligent vehicle) to demonstrate the practical viability of the proposed architecture and concept, highlighting the role of multi-modal fusion in perception and decision-making.
Graphical Abstract
Keywords
intelligent system
system architecture
system theory
information fusion
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
Fuhu Chen is an employee of Hanjiang Laboratory, Wuhan, China, and the 715th Research Institute of CSSC, Hangzhou, China. Zhe Wang is an employee of Sensetime Technology Co., Ltd., Shenzhen, China.
Ethical Approval and Consent to Participate
Not applicable.
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APA Style
Chen, F., & Wang, Z. (2025). Intelligent System Architecture Based on System Theory. Chinese Journal of Information Fusion, 2(1), 1–13. https://doi.org/10.62762/CJIF.2024.872211
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TY - JOUR AU - Chen, Fuhu AU - Wang, Zhe PY - 2025 DA - 2025/01/23 TI - Intelligent System Architecture Based on System Theory JO - Chinese Journal of Information Fusion T2 - Chinese Journal of Information Fusion JF - Chinese Journal of Information Fusion VL - 2 IS - 1 SP - 1 EP - 13 DO - 10.62762/CJIF.2024.872211 UR - https://www.icck.org/article/abs/CJIF.2024.872211 KW - intelligent system KW - system architecture KW - system theory KW - information fusion AB - Intelligent system is a research field that attracts much attention at present. Most of the researches on intelligent system focus on intelligent technology and its application. However, an intelligent system is first of all a system, which means it should have the characteristics of a system. Design of conventional system is mainly function- or task-oriented, and adaptation to environment is passive, static and regular. However, intelligent system is faced with a complex, random and dynamic environment, and has dynamic interaction with the environment. Behind this interaction behavior is a fusion of perception, cognition, and decision-making processes, supported by multi-source information fusion techniques. Therefore, intelligent system design needs to be oriented towards system behavior, where information fusion plays a crucial role in integrating heterogeneous data for coherent situational awareness. This paper will examine intelligent system from the perspective of system behavior characteristics, and put forward a new definition of intelligent system based on information fusion principles. The core feature of intelligent system is intelligence, which relies on advanced fusion algorithms to combine sensory inputs, knowledge, and contextual information. To construct an intelligent system, we develop a framework of five core capabilities, aligning with the traditional Chinese philosophical fusion of knowledge and action – the Unity of Knowledge and Action. Finally, we give a design case of an intelligent system (intelligent vehicle) to demonstrate the practical viability of the proposed architecture and concept, highlighting the role of multi-modal fusion in perception and decision-making. SN - 2998-3371 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Chen2025Intelligen,
author = {Fuhu Chen and Zhe Wang},
title = {Intelligent System Architecture Based on System Theory},
journal = {Chinese Journal of Information Fusion},
year = {2025},
volume = {2},
number = {1},
pages = {1-13},
doi = {10.62762/CJIF.2024.872211},
url = {https://www.icck.org/article/abs/CJIF.2024.872211},
abstract = {Intelligent system is a research field that attracts much attention at present. Most of the researches on intelligent system focus on intelligent technology and its application. However, an intelligent system is first of all a system, which means it should have the characteristics of a system. Design of conventional system is mainly function- or task-oriented, and adaptation to environment is passive, static and regular. However, intelligent system is faced with a complex, random and dynamic environment, and has dynamic interaction with the environment. Behind this interaction behavior is a fusion of perception, cognition, and decision-making processes, supported by multi-source information fusion techniques. Therefore, intelligent system design needs to be oriented towards system behavior, where information fusion plays a crucial role in integrating heterogeneous data for coherent situational awareness. This paper will examine intelligent system from the perspective of system behavior characteristics, and put forward a new definition of intelligent system based on information fusion principles. The core feature of intelligent system is intelligence, which relies on advanced fusion algorithms to combine sensory inputs, knowledge, and contextual information. To construct an intelligent system, we develop a framework of five core capabilities, aligning with the traditional Chinese philosophical fusion of knowledge and action – the Unity of Knowledge and Action. Finally, we give a design case of an intelligent system (intelligent vehicle) to demonstrate the practical viability of the proposed architecture and concept, highlighting the role of multi-modal fusion in perception and decision-making.},
keywords = {intelligent system, system architecture, system theory, information fusion},
issn = {2998-3371},
publisher = {Institute of Central Computation and Knowledge}
}
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Copyright © 2025 by the Author(s). Published by Institute of Central Computation and Knowledge. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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