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On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2023-11-06
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Citations: Bibtex RefMan EndNote GB/T7714
The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2
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Xiaolong LIANG, Rui QIN, Juanjuan LI, Fei-Yue WANG. The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 323-332.
@article{title="The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2",
author="Xiaolong LIANG, Rui QIN, Juanjuan LI, Fei-Yue WANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="2",
pages="323-332",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2300443"
}
%0 Journal Article
%T The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2
%A Xiaolong LIANG
%A Rui QIN
%A Juanjuan LI
%A Fei-Yue WANG
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 2
%P 323-332
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2300443
TY - JOUR
T1 - The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2
A1 - Xiaolong LIANG
A1 - Rui QIN
A1 - Juanjuan LI
A1 - Fei-Yue WANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 25
IS - 2
SP - 323
EP - 332
%@ 2095-9184
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2300443
Abstract: The emergence of decentralized autonomous organizations and operations (DAOs), equipped with innovative mechanisms, enables new possibilities for transforming traditional social collaborative relationships. Mechanisms are the underlying driver for DAOs. However, as a complex system encompassing both social complexity and engineering complexity, DAO mechanisms need to dynamically adapt to the changing external environment. Traditional top-down approaches cannot effectively deal with these problems. The circular causality theory views the operation of complex systems as a continuously evolving dynamic process, providing new perspectives to address these challenges. This paper proposes an engineering methodology grounded in the principles of parallel intelligence and circular causality theory to develop and specialize DAO mechanisms. Computer-aided dynamic design for complex adaptive systems (cad2CAS) is employed to streamline the design of DAO mechanisms and the complex adaptive system for computer-aided dynamic design (casCAD2) is used to verify and guide these mechanisms, thus establishing a causality loop. By proposing this methodology, we aim to enhance the efficiency, security, and adaptability of DAO governance systems, laying the foundation for more robust and resilient decentralized organizations.
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