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区块链技术发展现状与展望

袁勇 王飞跃

袁勇, 王飞跃. 区块链技术发展现状与展望. 自动化学报, 2016, 42(4): 481-494. doi: 10.16383/j.aas.2016.c160158
引用本文: 袁勇, 王飞跃. 区块链技术发展现状与展望. 自动化学报, 2016, 42(4): 481-494. doi: 10.16383/j.aas.2016.c160158
YUAN Yong, WANG Fei-Yue. Blockchain: The State of the Art and Future Trends. ACTA AUTOMATICA SINICA, 2016, 42(4): 481-494. doi: 10.16383/j.aas.2016.c160158
Citation: YUAN Yong, WANG Fei-Yue. Blockchain: The State of the Art and Future Trends. ACTA AUTOMATICA SINICA, 2016, 42(4): 481-494. doi: 10.16383/j.aas.2016.c160158

区块链技术发展现状与展望

doi: 10.16383/j.aas.2016.c160158
基金项目: 

国家自然科学基金(71472174, 71102117, 61533019, 71232006, 61233001)资助

详细信息
    作者简介:

    王飞跃,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研究员,国防科技大学军事计算实验与平行系统技术中心教授.主要研究方向为智能系统和复杂系统的建模,分析与控制.E-mail:feiyue.wang@ia.ac.cn

    通讯作者:

    袁勇,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.2008年于山东科技大学获得计算机软件与理论专业博士学位.主要研究方向为商务智能与计算广告学.本文通信作者.E-mail:yong.yuan@ia.ac.cn

Blockchain: The State of the Art and Future Trends

Funds: 

Supported by National Natural Science Foundation of China (71472174, 71102117, 61533019, 71232006, 61233001)

  • 摘要: 区块链是随着比特币等数字加密货币的日益普及而逐渐兴起的一种全新的去中心化基础架构与分布式计算范式, 目前已经引起政府部门、 金融机构、 科技企业和资本市场的高度重视与广泛关注. 区块链技术具有去中心化、 时序数据、 集体维护、 可编程和安全可信等特点, 特别适合构建可编程的货币系统、 金融系统乃至宏观社会系统. 本文通过解构区块链的核心要素, 提出了区块链系统的基础架构模型, 详细阐述了区块链及与之相关的比特币的基本原理、 技术、 方法与应用现状, 讨论了智能合约的理念、 应用和意义, 介绍了基于区块链的平行社会发展趋势, 致力于为未来相关研究提供有益的指导与借鉴.
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    [17] Fan Jie, Yi Le-Tian, Shu Ji-Wu. Research on the technologies of Byzantine system. Journal of Software, 2013, 24(6): 1346-1360(范捷, 易乐天, 舒继武. 拜占庭系统技术研究综述. 软件学报, 2013, 24(6): 1346-1360)
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    [24] Wang Fei-Yue. Computational experiments for behavior analysis and decision evaluation of complex systems. Journal of System Simulation, 2004, 16(5): 893-897(王飞跃. 计算实验方法与复杂系统行为分析和决策评估. 系统仿真学报, 2004, 16(5): 893-897)
    [25] Wang Fei-Yue, Qiu Xiao-Gang, Zeng Da-Jun, Cao Zhi-Dong, Fan Zong-Chen. A computational experimental platform for emergency response based on parallel systems. Complex Systems and Complexity Science, 2010, 7(4): 1-10(王飞跃, 邱晓刚, 曾大军, 曹志冬, 樊宗臣. 基于平行系统的非常规突发事件计算实验平台研究. 复杂系统与复杂性科学, 2010, 7(4): 1-10)
    [26] Wang Fei-Yue, Wang Xiao, Yuan Yong, Wang Tao, Lin Yi-Lun. Social computing and computational societies: the foundation and consequence of smart societies. Chinese Science Bulletin, 2015, 60(5-6): 460-469(王飞跃, 王晓, 袁勇, 王涛, 林懿伦. 社会计算与计算社会: 智慧社会的基础与必然. 科学通报, 2015, 60(5-6): 460-469)
    [27] Wang Fei-Yue. Software-defined systems and knowledge automation: a parallel paradigm shift from Newton to Merton. Acta Automatica Sinica, 2015, 41(1): 1-8(王飞跃. 软件定义的系统与知识自动化: 从牛顿到默顿的平行升华. 自动化学报, 2015, 41(1): 1-8)
    [28] Wang Fei-Yue. Artificial societies, computational experiments, and parallel systems: a discussion on computational theory of complex social-economic systems. Complex Systems and Complexity Science, 2004, 1(4): 25-35(王飞跃. 人工社会、计算实验、平行系统: 关于复杂社会经济系统计算研究的讨论. 复杂系统与复杂性科学, 2004, 1(4): 25-35)
    [29] Wang Fei-Yue, Jiang Zheng-Hua, Dai Ru-Wei. Population studies and artificial societies: a discussion of artificial population systems and their applications. Complex Systems and Complexity Science, 2005, 2(1): 1-9(王飞跃, 蒋正华, 戴汝为. 人口问题与人工社会方法: 人工人口系统的设想与应用. 复杂系统与复杂性科学, 2005, 2(1): 1-9)
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出版历程
  • 收稿日期:  2016-02-22
  • 修回日期:  2016-03-02
  • 刊出日期:  2016-04-20

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