区块链技术对人工智能的影响

摘要/Abstract

摘要： 区块链是比特币的支撑技术,具有去中心化、不可篡改、可追溯的特点,在金融、数字版权、公证、物联网、文档存储等领域开始逐步应用并取得了较大成果,已成为与人工智能、大数据、云计算等比肩的热门技术。人工智能建立在海量数据和强大计算力的基础上,区块链技术的特点可以很好地融入到人工智能应用中,从而推动人工智能的进一步发展。文中在介绍了区块链基本概念与工作机制的基础上,重点介绍区块链技术的发展对人工智能的影响,分析了区块链技术应用于人工智能领域的可行性,最后提出展望。

关键词: AI, Atmatrix, 比特币, 区块链, 挖矿

Abstract: Blockchain is the technology behind Bitcoin,with the characteristics of decentralization,non-tampering and retrospective.Blockchain has been gradually applied in financial,digital rights,notarization,networking,document stora-ge and other fields,and obtained great achievements.Blackchain has become a more and more popular research area like AI (Artificial Intelligence),Big Data and Cloud Computing.AI bases on massive datasets and powerful computing ability,and Blockchain can be well integrated into AI to promote it’s rapid development.On the basis of introducing the concept and working mechanism of Blockchain,this paper mainly introduced the influence of Blockchain technology on AI,analyzed the application feasibility of Blockchain in AI,and finally put forward the prospect.

Key words: AI, Atmatrix, Bitcoin, Blockchain, Hyperledger

中图分类号:

TP315

潘吉飞, 黄德才. 区块链技术对人工智能的影响[J]. 计算机科学, 2018, 45(11A): 53-57. https://doi.org/

PAN Ji-fei, HUANG De-cai. Impact of Blockchain Technology on AI[J]. Computer Science, 2018, 45(11A): 53-57. https://doi.org/

参考文献

[1]何蒲,于戈,张岩峰,等.区块链技术与应用前瞻综述[J].计算机科学,2017,44(4):1-7,15.
[2]YUAN Y,WANG F Y.Blockchain:The State of the Art and Future Trends [J].Acta Automatica Sinica,2016,42(4):481-494.
[3]Google Research Blog.AlphaGo:Mastering the ancient game of Go with Machine Learning[EB/OL].(2016-01-27).https://google research.blogspot.com/2016/01/alphago-mastering-an-cient-game-of-go.html.
[4]KUMAR A N.LEGO Robots and AI[J].ACM SIGCSE Bulletin,2005,37(3):418-418.
[5]NAKAMOTO S.Bitcoin:A Peer-to-Peer Electronic CashSystem[EB/OL].https://bitcoin.org/bitcoin.pdf.
[6]HABER S,STORNETTA W S.How to time-stamp a digital document[J].Journal of Cryptology,1991,3(2):99-111.
[7]Wikipedia.Blockchain[EB/OL].[2017-10-17].https://de.wi-kipedia.org/wiki/Blockchain.
[8]ANDREASM.Mastering Bitcoin:Unlocking Digital Cyrpto-Currencies [M].Sebastopol,CA:O’Reilly Media,2014:160-170.
[9]SINHA A.Client-server computing [J].Communications of the ACM,1992,35(7):77-98.
[10]FAN J,YI L T,SHU J W.Research on the Technologies of Byzantine System [J].Journal of Software,2013,24(6):1346-1360.
[11]LOI L U U,NARAYANAN V,ZHENG C D,et al.A Secure Sharding Protocol For Open Blockchains[C]∥Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security.2016:17-30.
[12]HYPERLEDER.About Hyperledger [EB/OL].[2017-10-17].https://www.hyperledger.org/about.
[13]YUAN Y,ZHOU T,ZHOU A Y,et al.Blockchain:From Data Intelligence to Knowledge Automation[J].Acta Automatica Sinica,2016,42(4):481-494.
[14]BANKO M,BRILL E.Scaling to very very large corpora for natural language disambiguation[C]∥Meeting of the Association for Computational Linguistics.2001.
[15]CIRESAN D C,MEIER U,GAMBARDELLA L M,et al.Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition [J].Neural Computation,2010,22(12):3207-3220.
[16]MCCONAGHY T.How Blockchains Could Transform Artificial Intelligence[EB/OL].(2016-12-21)[2017-10-17].http://dataconomy.com/2016/12/blockchains-for-artificial-intelligence.
[17]MACCONAGHY T,GIELEN G.Canonical form functions as a simple means for genetic programming to evolve human-interpretable functions[C]∥Conference on Genetic and Evolutinary Computation.2006:855-862.
[18]RICK OMAC G.AI on the Blockchain:Dystopian or Utopian Future?[EB/OL].(2014-10-16)[2017-10-16].https://www.cryptocoinsnews.com/ai-blockchain-dystopian-utopian-future.
[19]ZHU Z W.Node.js Blockchain Development [M].Beijing:Mechanical Industry Press,2017:14-15.
[20]BITCOINWIKI.ASIC[EB/OL].(2015-03-29).https://en.bit-coin.it/wiki/ASIC.
[21]BYTOM.BytomWhitePaperV1.0[EB/OL].http://bytom.io/By-tomWhitePaperV1.0.pdf.
[22]GridCoin[EB/OL].[2017-10-17].http://www.gridcoin.us.
[23]YEGULALP S.ONNX makes machine learning models portable,shareable[EB/OL].(2017-09-08).https://www.infoworld.com/article/3223401/machine-learning/onnx-makes-ma-chine-learning-models-portable-shareable.html.
[24]ATMATRIX.Atmatrix whitepaper[EB/OL].https://www.atmatrix.org/ system/whitepaper-cn.pdf.
[25]SONG S Z,ZANG C.Calm Thinking Under the Blockchain Hot [J].Chinese Banking,2016(12):33-35.
[26]POON J,DRYJA T.The Bitcoin Lightning Network:Scalable Off-Chain Instant Payments[EB/OL].(2016-02-14).https://lightning.network/lightning-network-paper.pdf.
[27]CAI W D,YU L,WANG R,et al.Blockchain Application Deve-lopment Technical [J].Journal of Software,2017,28(6):1474-1487.

相关文章 15

[1]	王子凯, 朱健, 张伯钧, 胡凯. 区块链与智能合约并行方法研究与实现 Research and Implementation of Parallel Method in Blockchain and Smart Contract 计算机科学, 2022, 49(9): 312-317. https://doi.org/10.11896/jsjkx.210800102
[2]	张翕然, 刘万平, 龙华. 物联网僵尸网络病毒的传播动力学模型与分析 Dynamic Model and Analysis of Spreading of Botnet Viruses over Internet of Things 计算机科学, 2022, 49(6A): 738-743. https://doi.org/10.11896/jsjkx.210300212
[3]	周航, 姜河, 赵琰, 解相朋. 适用于各单元共识交易的电力区块链系统优化调度研究 Study on Optimal Scheduling of Power Blockchain System for Consensus Transaction ofEach Unit 计算机科学, 2022, 49(6A): 771-776. https://doi.org/10.11896/jsjkx.210600241
[4]	傅丽玉, 陆歌皓, 吴义明, 罗娅玲. 区块链技术的研究及其发展综述 Overview of Research and Development of Blockchain Technology 计算机科学, 2022, 49(6A): 447-461. https://doi.org/10.11896/jsjkx.210600214
[5]	高健博, 张家硕, 李青山, 陈钟. RegLang:一种面向监管的智能合约编程语言 RegLang:A Smart Contract Programming Language for Regulation 计算机科学, 2022, 49(6A): 462-468. https://doi.org/10.11896/jsjkx.210700016
[6]	何茜, 贺可太, 王金山, 林绅文, 杨菁林, 冯玉超. 比特币实体交易模式分析 Analysis of Bitcoin Entity Transaction Patterns 计算机科学, 2022, 49(6A): 502-507. https://doi.org/10.11896/jsjkx.210600178
[7]	毛典辉, 黄晖煜, 赵爽. 符合监管合规性的自动合成新闻检测方法研究 Study on Automatic Synthetic News Detection Method Complying with Regulatory Compliance 计算机科学, 2022, 49(6A): 523-530. https://doi.org/10.11896/jsjkx.210300083
[8]	郁舒昊, 周辉, 叶春杨, 王太正. SDFA:基于多特征融合的船舶轨迹聚类方法研究 SDFA:Study on Ship Trajectory Clustering Method Based on Multi-feature Fusion 计算机科学, 2022, 49(6A): 256-260. https://doi.org/10.11896/jsjkx.211100253
[9]	李博, 向海昀, 张宇翔, 廖浩德. 面向食品溯源场景的PBFT优化算法应用研究 Application Research of PBFT Optimization Algorithm for Food Traceability Scenarios 计算机科学, 2022, 49(6A): 723-728. https://doi.org/10.11896/jsjkx.210800018
[10]	王思明, 谭北海, 余荣. 面向6G可信可靠智能的区块链分片与激励机制 Blockchain Sharding and Incentive Mechanism for 6G Dependable Intelligence 计算机科学, 2022, 49(6): 32-38. https://doi.org/10.11896/jsjkx.220400004
[11]	孙浩, 毛瀚宇, 张岩峰, 于戈, 徐石成, 何光宇. 区块链跨链技术发展及应用 Development and Application of Blockchain Cross-chain Technology 计算机科学, 2022, 49(5): 287-295. https://doi.org/10.11896/jsjkx.210800132
[12]	阳真, 黄松, 郑长友. 基于区块链与改进CP-ABE的众测知识产权保护技术研究 Study on Crowdsourced Testing Intellectual Property Protection Technology Based on Blockchain and Improved CP-ABE 计算机科学, 2022, 49(5): 325-332. https://doi.org/10.11896/jsjkx.210900075
[13]	任畅, 赵洪, 蒋华. 一种量子安全拜占庭容错共识机制 Quantum Secured-Byzantine Fault Tolerance Blockchain Consensus Mechanism 计算机科学, 2022, 49(5): 333-340. https://doi.org/10.11896/jsjkx.210400154
[14]	冯了了, 丁滟, 刘坤林, 马科林, 常俊胜. 区块链BFT共识算法研究进展 Research Advance on BFT Consensus Algorithms 计算机科学, 2022, 49(4): 329-339. https://doi.org/10.11896/jsjkx.210700011
[15]	丛颖男, 王兆毓, 朱金清. 关于法律人工智能数据和算法问题的若干思考 Insights into Dataset and Algorithm Related Problems in Artificial Intelligence for Law 计算机科学, 2022, 49(4): 74-79. https://doi.org/10.11896/jsjkx.210900191

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed