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参考文献

1.Polanyi,Michael,PersonalKnowledge:TowardsaPostCriticalPhilosophy,London:Routledge,1958.

2.迈克尔·波兰尼.个人知识——迈向后批判哲学[M].贵州:贵州人民出版社,2000.

3.Polanyi,Michael,TheTacitDimension,NewYork:AnchorBooks,1967.

4.F.A.Hayek,TheSensoryOrder,UniversityChicagoPress,1952.

5.“知识的僭妄”

哈耶克1974年12月11日荣获诺贝尔经济学奖时的演说。

摘录自《哈耶克文选》(冯克利译),河南大学出版社,2015年版.

6.哈耶克.通往奴役之路[M].王明毅,冯兴元等译.北京:中国社会科学出版社,1997.

7.LaknaPanawala,DifferenceBetweenHorminesandNeurotransmitters,PEDIAAReserchGateJune2017.

8.计算机下棋简史.http:.sohu.a209845762_697750.

9.卡斯帕罗夫自述.http:.datagurunarticle-11122-1.html.

10.AlphaGoZero:将革命进行到底.http:.sohu.a198990474_211120.

11.阿瑟·塞缪尔——机器学习之父.http:.360doc.content160130141609415_531664546.shtml.

12.VentureCapitalRemainsHighlyConcentratedinJustaFewCities.https:itylab.life201710venture-capitalconcentration539775.

13.为什么硅谷可以持续创新.http:news.163.18012405D8T3ICJ600018AOP.html.

14.DeepLearning101——Part1:HistoryandBackground.https:beamandrew.github.iodeeplearning20170223deep_learning_101_part1.html.

15.HistoryofNeuralNetworks.http:.psych.utorontoausersreingoldcoursesaicacheneural4.html.

16.人工智能60年沉浮史.http:news.zol.n5765763702.html.

17.一文读懂人工智能的前世今生.http:tech.163.16022615BGOQVQP000094P0U.html.

18.人工智能发展史.http:mini.eastday.mobile161203062329556.html.

19.GeoffreyHinton对“深度学习”

的贡献.http:.52ml1360.html.

20.如今统治机器学习的深度神经网络,也曾经历过两次低谷.http:news.zol.n6326327901.html.

21.达特茅斯会议:人工智能的缘起.http:.sohu.a63215019_119556.

22.“Large-scaleDeepUnsupervisedLearningusingGraphicsProcessors”

Proceedingsofthe26thInternationalConferenceonMachineLearning,Montreal,Canada,2009.

23.Afastlearningalgorithmfordeepbeliefnets,GeoffreyHinton,NeuralComputation2006Jul;18(7):1527—1554.

24.尼克.人工智能简史[M].北京:人民邮电出版社,2017.

25.AnInteractiveNode-LinkVisualizationofConvolutionalNeuralNetworks.AdamW.Harley(B)DepartmentofComputerScience,RyersonUniversity,Toronto,ONM5B2K3,Canada.

26.HopfieldNetwork.http:.doc.ic.ac.uk~aepapersHopfieldnetworks-15.pdf.

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