참고문헌
- https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol
- Turing, A. M., "Computing machinery and intelligence", Mind, 59(236), pp.433-460, 1950 https://doi.org/10.1093/mind/LIX.236.433
- Schwab, Klaus., "The Fourth Industrial Revolution: what it means, how to respond", World Economic Forum, 2016
- Russell, S. (2009). Artificial intelligence: A modern approach author: Stuart russell, peter norvig, publisher: Prentice hall pa.
- Samuel, A. L., "Some studies in machine learning using the game of checkers. II-recent progress", IBM Journal of research and development, 11(6), pp.601-617, 1967 https://doi.org/10.1147/rd.116.0601
- Rosenblatt, F., "The perceptron: A probabilistic model for information storage and organization in the brain", Psychological review, 65(6), pp.386, 1958 https://doi.org/10.1037/h0042519
- Aizenberg, I., Aizenberg, N. N., & Vandewalle, J. P., "Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications", Springer Science & Business Media, 2013
- http://it.donga.com/26447/
- Adeli, H., & Yeh, C., "Perceptron learning in engineering design". Computer-Aided Civil and Infrastructure Engineering, 4(4), pp. 247-256, 1989 https://doi.org/10.1111/j.1467-8667.1989.tb00026.x
- Adeli, H., "Neural networks in civil engineering: 1989-2000", Computer-Aided Civil and Infrastructure Engineering, 16(2), pp. 126-142, 2001 https://doi.org/10.1111/0885-9507.00219
- https://en.wikipedia.org/wiki/AI_winter
- Minsky, M., & Papert, S., "Perceptrons", 1969
- Williams, D. R. G. H. R., & Hinton, G., "Learning representations by back-propagating errors", Nature, 323(6088), pp.533-538, 1986 https://doi.org/10.1038/323533a0
- Hinton, G. E., Osindero, S., & Teh, Y. W., "A fast learning algorithm for deep belief nets", Neural computation, 18(7), pp. 1527-1554, 2006 https://doi.org/10.1162/neco.2006.18.7.1527
- Bellman, R., "Dynamic programming", Courier Corporation, 2013