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基于Web3的去中心化自治组织与运营新框架

李娟娟 秦蕊 丁文文 王戈 王坛 王飞跃

李娟娟, 秦蕊, 丁文文, 王戈, 王坛, 王飞跃. 基于Web3的去中心化自治组织与运营新框架. 自动化学报, 2023, 49(5): 985−998 doi: 10.16383/j.aas.c220753
引用本文: 李娟娟, 秦蕊, 丁文文, 王戈, 王坛, 王飞跃. 基于Web3的去中心化自治组织与运营新框架. 自动化学报, 2023, 49(5): 985−998 doi: 10.16383/j.aas.c220753
Li Juan-Juan, Qin Rui, Ding Wen-Wen, Wang Ge, Wang Tan, Wang Fei-Yue. A new framework for Web3-powered decentralized autonomous organizations and operations. Acta Automatica Sinica, 2023, 49(5): 985−998 doi: 10.16383/j.aas.c220753
Citation: Li Juan-Juan, Qin Rui, Ding Wen-Wen, Wang Ge, Wang Tan, Wang Fei-Yue. A new framework for Web3-powered decentralized autonomous organizations and operations. Acta Automatica Sinica, 2023, 49(5): 985−998 doi: 10.16383/j.aas.c220753

基于Web3的去中心化自治组织与运营新框架

doi: 10.16383/j.aas.c220753
基金项目: 国家自然科学基金 (62103411), 澳门特别行政区科学技术发展基金 (0050/2020/A1), 中国科学院国际伙伴计划 (GJHZ202112) 资助
详细信息
    作者简介:

    李娟娟:中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员. 主要研究方向为区块链, DAO与平行管理. E-mail: juanjuan.li@ia.ac.cn

    秦蕊:中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员. 主要研究方向为区块链, 平行管理与计算经济学. E-mail: rui.qin@ia.ac.cn

    丁文文:澳门科技大学澳门系统工程研究所博士研究生, 研究助理. 主要研究方向为DAO, 平行智能与平行管理. E-mail: savanna.wen@gmail.com

    王戈:澳门科技大学澳门系统工程研究所博士研究生. 主要研究方向为平行管理与平行智能

    王坛:澳门科技大学澳门系统工程研究所博士研究生, 中国自动化学会副秘书长. 主要研究方向为社会计算和智能系统.E-mail: tan.wang@ia.ac.cn

    王飞跃:中国科学院自动化研究所研究员, 复杂系统管理与控制国家重点实验室主任, 中国科学院大学中国经济与社会安全研究中心主任, 澳门科技大学特聘教授. 主要研究方向为社会计算, 平行智能与知识自动化. 本文通信作者. E-mail: feiyue.wang@ia.ac.cn

A New Framework for Web3-powered Decentralized Autonomous Organizations and Operations

Funds: Supported by National Natural Science Foundation of China (62103411), Science and Technology Development Fund of Macau SAR (0050/2020/A1), and International Partnership Program of Chinese Academy of Sciences (GJHZ202112)
More Information
    Author Bio:

    LI Juan-Juan Associate professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Her research interest covers blockchain, DAO, and parallel management

    QIN Rui Associate professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Her research interest covers blockchain, parallel management, and computational economics

    DING Wen-Wen Ph.D. candidate and research assistant at Macao Institute of Systems Engineering, Macau University of Science and Technology, China. Her research interest covers DAO, parallel intelligence, and parallel management

    WANG Ge Ph.D. candidate at Macao Institute of Systems Engineering, Macau University of Science and Technology, China. His research interest covers parallel management and parallel intelligence

    WANG Tan Ph.D. candidate at Macao Institute of Systems Engineering, Macau University of Science and Technology, China, and deputy secretary at Chinese Association of Automation. Her research interest covers social computing and intelligent systems

    WANG Fei-Yue Professor at the Institute of Automation, Chinese Academy of Sciences, director of the State Key Laboratory for Management and Control of Complex Systems, director of China Economic and Social Security Research Center at University of Chinese Academy of Sciences, distinguished professor at Macau University of Science and Technology. His research interest covers social computing, parallel intelligence, and knowledge automation. Corresponding author of this paper

  • 摘要: Web3技术催生的去中心化自治组织 (Decentralized autonomous organization, DAO) 正以颠覆性的方式重新定义要素资源、变革生产关系与塑造组织形态. 为了更好地响应DAO研究与应用需求, 本文从组织和运营两个角度重新解析DAO, 认为其应当被更广义而精确地定义为去中心化自治组织与运营 (Decentralized autonomous organization and operation). 在此基础上, 阐述DAO的关键原理与基本要求, 探讨社会物理信息系统、平行智能等基础设施以及数字孪生、元宇宙、Web3等支撑技术, 构建涵盖组织层、协调层以及执行层等的DAO五层智能新架构, 提出DAO的闭环方程以及功能导向的智能新算法, 分析个体、组织与社会视角下的DAO治理机制, 研究面向生物人、机器人与数字人的DAO激励机制, 并介绍DAO的典型与潜在应用场景. 最后, 总结全文并展望DAO未来研究方向.
  • 图  1  DAO的新架构

    Fig.  1  The new architecture for DAO

    图  2  $ r=z\left(l\right) $的变化趋势图

    Fig.  2  The function $ r=z\left(l\right) $

    图  3  DAO的核心功能及其智能算法

    Fig.  3  Function-oriented intelligent algorithms for DAO

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  • 收稿日期:  2022-09-21
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