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On-line Access: 2024-02-23

Received: 2023-06-28

Revision Accepted: 2024-02-23

Crosschecked: 2023-11-06

Cited: 0

Clicked: 242

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Fei-Yue WANG

https://orcid.org/0000-0001-9185-3989

Xiaolong LIANG

https://orcid.org/0009-0005-9583-8694

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Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.2 P.323-332

http://doi.org/10.1631/FITEE.2300443


The engineering of circular causality for specialization and design of complex systems: cad2CAS and casCAD2


Author(s):  Xiaolong LIANG, Rui QIN, Juanjuan LI, Fei-Yue WANG

Affiliation(s):  Faculty of Innovation Engineering, Macau University of Science and Technology, Macao 999078, China; more

Corresponding email(s):   rembern@126.com, rui.qin@ia.ac.cn, juanjuan.li@ia.ac.cn, feiyue.wang@ia.ac.cn

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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.

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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.

基于循环因果的复杂系统设计及验证:cad2CAS和casCAD2

梁小龙1,2.3,李娟娟2,3,秦蕊2,3,王飞跃1,3
1澳门科技大学创新工程学院,中国澳门,999078
2中国科学院自动化研究所多模态人工智能系统实验室,中国北京市,100190
3中国科学院自动化研究所复杂系统管理与控制实验室,中国北京市,100190
摘要:去中心化自治组织(DAO)的兴起,为传统的社会协作关系带来全新的可能性,而DAO组织的核心驱动力和权利基础就在于其创新的运作机制。然而,DAO作为一个同时具有社会复杂性和工程复杂性的复杂系统,其机制需要能够动态适应不断变化的外部环境,这同时也是其面临的巨大挑战。传统的自上而下的设计方法并不能有效解决这些问题。循环因果理论将复杂系统的运作视作是一个持续演化的动态过程,从而为解决以上问题提供了新的视角。因此,基于平行智能理论和循环因果理论,提出一种用于DAO机制设计和验证的工程方法。在这种方法中,采用了计算机辅助复杂自适应系统的动态设计工具(cad2CAS)简化DAO机制的设计,并使用复杂自适应系统的计算机辅助动态设计系统(casCAD2)验证和引导这些机制,从而建立一个因果循环。通过提出这种方法,希望能提高DAO治理系统的效率、安全性和适应性,为更加鲁棒和弹性的去中心化组织发展奠定基础。

关键词:去中心化自治组织;区块链;智能合约;平行智能理论;治理机制

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