A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence
Ding, Wenwen5; Liang, Xiaolong5; Hou, Jiachen5; Li, Juanjuan4; Rouabah, Younes5; Yuan, Yong3; Wang, Fei-Yue1,2
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
2022-12-06
页码12
关键词Blockchain decentralized autonomous organizations (DAOs) GnosisDAO parallel governance parallel intelligence smart contracts
ISSN号2168-2216
DOI10.1109/TSMC.2022.3224250
通讯作者Yuan, Yong(yong.yuan@ruc.edu.cn)
英文摘要Decentralized autonomous organizations (DAOs) have become an indispensable part of digital infrastructure in recent years. The unique organizational characteristics and functional structure empower them to become an effective tool for solving corporate governance issues, including contract risks, principal-agent dilemmas, etc. However, DAOs themselves also face a variety of governance issues. On one hand, as a new economic organization model, the existing corporate governance theories and methods are no longer fully applicable to DAOs. On the other hand, unpredictable logic vulnerabilities and code loopholes in the governance mechanism might cause devastating damage to DAOs. The parallel intelligence theory based on the ACP method (i.e., artificial systems, computational experiments, and parallel execution) is an elegant research paradigm and a practical approach tailored to solving these challenges. As such, we propose a novel parallel governance framework for DAOs based on the parallel intelligence theory and further discuss its technical methodology and implementation model. Furthermore, we construct a parallel governance system for GnosisDAO and conduct computational experiments to validate the effectiveness of its governance mechanism. The experimental results not only confirm the defects of the GnosisDAO governance mechanism but also illustrate parallel governance as a useful research direction to solve existing governance problems of DAOs.
资助项目National KeyResearch and Development Program of China[2018AAA0101401] ; Science and Technology Development Fund, Macau[0050/2020/A1] ; Open Research Fund of The StateKey Laboratory for Management and Control of Complex Systems[20200111] ; National Natural Science Foundation ofChina[72171236] ; National Natural Science Foundation ofChina[72171230] ; National Natural Science Foundation ofChina[62103411]
WOS关键词BLOCKCHAIN ; SYSTEMS
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000896597300001
资助机构National KeyResearch and Development Program of China ; Science and Technology Development Fund, Macau ; Open Research Fund of The StateKey Laboratory for Management and Control of Complex Systems ; National Natural Science Foundation ofChina
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/50806]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Yuan, Yong
作者单位1.Macau Univ Sci & Technol, Macau Inst Syst Engn, Macau, Peoples R China
2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Renmin Univ China, Res Ctr Finance Computat & Digital Engn, Sch Math & Engn, Minist Educ, Beijing 100872, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
5.Macau Univ Sci & Technol, Inst Syst Engn, Macau, Peoples R China
推荐引用方式
GB/T 7714
Ding, Wenwen,Liang, Xiaolong,Hou, Jiachen,et al. A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2022:12.
APA Ding, Wenwen.,Liang, Xiaolong.,Hou, Jiachen.,Li, Juanjuan.,Rouabah, Younes.,...&Wang, Fei-Yue.(2022).A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,12.
MLA Ding, Wenwen,et al."A Novel Approach for Predictable Governance of Decentralized Autonomous Organizations Based on Parallel Intelligence".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022):12.
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