数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (1): 1-14.

doi: 10.11871/jfdc.issn.2096-742X.2021.01.001

• 区块链技术与应用专刊 •    下一篇

基于区块链的智能组件:一种分布式人工智能研究新范式

袁勇1,2,*(),欧阳丽炜3(),王晓3(),王飞跃3()   

  1. 1.中国人民大学,数学学院,北京 100872
    2.中国人民大学,金融计算与数字工程教育部工程研究中心,北京 100872
    3.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,北京 100190
  • 收稿日期:2020-10-15 出版日期:2021-02-20 发布日期:2021-02-07
  • 通讯作者: 袁勇
  • 作者简介:袁勇,中国人民大学数学学院,教授,金融数学与金融计算系主任,主要研究兴趣为计算经济学与区块链技术,在国内外重要期刊及会议上发表学术论文120余篇,完成专著4部;研究成果曾获7项最佳论文奖(均为第一作者),包括IEEE SMC学会Andrew P. Sage最佳汇刊论文奖、科技部F5000精品期刊顶尖论文奖、自动化学报年度优秀论文奖等,曾获中国自动化学会青年科学家奖。本文中负责总体统稿、总结智能组件的科学问题。
    YUAN Yong is currently a Professor and Director with the Department of Financial Mathematics and Financial Computation, School of Mathematics, Renmin University of China. His current research interests include computational economics and blockchain.In this paper, he is responsible for the overall draft and scientific problem summary of intelligent-ware.E-mail: yong.yuan@ruc.edu.cn|欧阳丽炜,中国科学院自动化研究所,博士研究生,主要研究方向为社会计算与区块链。本文中负责智能组件的研究内容、实现途径和案例分析研究。
    OUYANG Liwei is a Ph.D. candidate at the Institute of Automation, Chinese Academy of Sciences. Her research interest covers social computing and blockchain.In this paper, she is responsible for the research content, realization method, and case analysis for intelligent-ware.E-mail: ouyangliwei2018@ia.ac.cn|王晓,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,2016年获得中国科学院大学社会计算博士学位,主要研究方向为群体行为的激发与汇聚激励,群体智能和社交网络挖掘与分析。本文中负责智能组件的案例分析。
    WANG Xiao is an Associate Professor at the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. Her research interests cover stimulation and convergence of collective behavior, swarm intelligence, and social network mining and analysis.In this paper, she is responsible for the case analysis for intelligent-ware.E-mail: x.wang@ia.ac.cn|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主任,中国科学院大学中国经济与社会安全研究中心主任,青岛智能产业技术研究院院长,主要研究方向为平行系统的方法与应用、社会计算、平行智能以及知识自动化。在本文中承担智能组件的概念框架研究。
    WANG Feiyue is currently the Director of the State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences. He is also the Director of China Economic and Social Security Research Center at the University of Chinese Academy of Sciences, and the Dean of Qingdao Academy of Intelligent Industries. His research interest covers methods and applications for parallel systems, social computing, parallel intelligence, and knowledge automation.In this paper, he is responsible for the research on the conceptual framework of intelligent-ware.E-mail: feiyue.wang@ia.ac.cn
  • 基金资助:
    国家重点研发计划(2018AAA0101401);教育部产学研创新基金重点项目(2019J01015);中国人民大学区块链跨学科培育项目;国家自然科学基金项目(61533019);国家自然科学基金项目(71702182)

Blockchain-Based Intelligent-Ware: A Novel Paradigm for Distributed Artificial Intelligence Research

YUAN Yong1,2,*(),OUYANG Liwei3(),WANG Xiao3(),WANG Feiyue3()   

  1. 1. School of Mathematics, Renmin University of China, Beijing 100872, China
    2. Engineering Research Center of Finance Computation and Digital Engineering, Ministry of Education, Renmin University of China, Beijing 100872, China
    3. The State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2020-10-15 Online:2021-02-20 Published:2021-02-07
  • Contact: YUAN Yong

摘要:

[目的]促进区块链与新一代人工智能技术的融合发展,利用人工智能的学习、推理和决策能力解决区块链面临的关键问题与挑战,已经成为区块链技术发展的重要突破口。[方法]致力于研究区块链与人工智能相结合的新范式,将目前相对中心化的人工智能算法嵌入到去中心化的区块链系统,使得二者共融、增强。[结果]提出了区块链赋能的智能组件概念与方法体系,为区块链性能、去中心化治理和安全方面的联合优化提出了解决方案,同时为分布式人工智能研究提供了新范式和新思路。[结论]智能组件有助于构建高效能、高可控、高安全、具有智能决策能力的新型区块链系统,形成“区块链智能”。

关键词: 智能组件, 区块链, 智能合约, 分布式人工智能

Abstract:

[Objective] Integrating blockchain and the next-generation artificial intelligence (AI), and solving key issues and challenges in blockchain with the learning, reasoning and decision-making capabilities in AI, has become an important breakthrough point for the development of blockchain. [Methods] In this paper, we aim at studying the novel paradigm of blockchain + AI, integrating and enhancing both areas via embedding the centralized AI algorithms into the decentralized blockchain systems. [Results] We propose the concept and method framework for the novel blockchain-enabled intelligent-ware, which offers potential solutions to joint optimization for performance, decentralized governance and security issues of blockchain, and also provides a new paradigm for the decentralized AI. [Conclusions] Intelligent-ware can help construct the next-generation blockchain systems with high performance, high controllability, high security and intelligent decision-making ability, thus generating the blockchain intelligence.

Key words: intelligent-ware, blockchain, smart contract, distributed artificial intelligence