Haworth, G.McC. & Velliste, M. (1998). Chess endgames and neural networks. ICGA Journal, 21(4), 211–227. http://centaur.reading.ac.uk/4569/. doi:10.3233/ICG-1998-21402.
2.
Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D. & Riedmiller, M. (2013). Playing Atari with Deep Reinforcement Learning. arXiv:1312.5602v1 [cs.LG].
3.
Polya, G. (1962). Mathematical Discovery on Understanding, Learning, and Teaching Problem Solving (Vol. 1, Combined ed. (1981)). Wiley. ISBN 978-04-7108-975-9.
4.
Sadler, M. & Regan, N. (2019). Game Changer: AlphaZero’s Groundbreaking Chess Strategies and the Promise of AI. New in Chess. ISBN 978-90-5691-818-7.
5.
Shannon, C.E. (1950). Programming a computer for playing chess. The London, Edinburgh and Dublin Philosophical Magazine, 41(314), 256–275. doi:10.1080/14786445008521796.
6.
Silver, D.et al. (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, 362(6419), 1140–1144. doi:10.1126/science.aar6404.
