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打開AlphaGo !
電腦圍棋為何能擊敗人類九段棋手

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作        者 顏士淨

作者簡介 顏士淨為國立東華大學資訊工程系教授,專長:人工智慧、電腦對局、深度學習及機器學習。

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參考資料

[1]         Jonathan Schaeffer, Neil Burch, Yngvi Björnsson, Akihiro Kishimoto, Martin Müller, Rob Lake, Paul Lu, Steve Sutphen (2007). Checkers is Solved. Science, Vol. 317, no. 5844.
[2]         Donald Knuth, Ronald W. Moore, “An analysis of alpha-beta pruning”, Artificial Intelligence, Vol. 6, No. 4, pp 293–326, 1975.
[3]         David Silver, Aja Huang, Christopher J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel and Demis Hassabis, ”Mastering the game of Go with deep neural networks and tree search”, Nature, 2016, Pages 484-503, Vol. 529.
[4]         David R. Hunter, “MM algorithms for generalized Bradley-Terry models”, The Annals of Statistics, 32(1):384–406, 2004.
[5]         Remi Coulom, “Computing Elo Ratings of Move Patterns in the Game of Go”, ICGA Journal, Vol. 30, No. 4, pp. 198-208, 2007.
[6]         Ilya Sutskever and Vinod Nair, “Mimicking Go Experts with Convolutional Neural Networks”, pages 101–110. Springer Berlin Heidelberg, Berlin, Heidelberg, 2008.
[7]         Chris J Maddison, Aja Huang, Ilya Sutskever, and David Silver, “Move evaluation in go using deep convolutional neural networks”, In International Conference on Learning Representations, 2015.
[8]         Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen, Ting-Han Wei, I-Chen Wu, Ping-Chiang Chou, Chun-Hsun Chou, Ming-Wan Wang, and Tai-Hsiung Yang, "Human vs. Computer Go: Review and Prospect", IEEE Computational Intelligence Magazine (IEEE CIM), Vol. 11, No. 3, pp. :67-72, August 2016.