D. Silver, Mastering the game of Go with deep neural networks and tree search, Nature, vol.34, issue.7587, p.484489, 2016.
DOI : 10.3233/ICG-2011-34302

V. Mnih?, Playing Atari with Deep Reinforcement Learning, NIPS Deep Learning Workshop, p.2013, 2013.

V. Mnih and ?. , Human-level control through deep reinforcement learning, Nature, vol.101, issue.7540, pp.529533-2015
DOI : 10.1016/S0004-3702(98)00023-X

K. Ikeda and S. Viennot, Production of various strategies and position control for Monte-Carlo Go — Entertaining human players, 2013 IEEE Conference on Computational Inteligence in Games (CIG), pp.145-152, 2013.
DOI : 10.1109/CIG.2013.6633625

J. Togelius, Assessing Believability Believable Bots: Can Computers Play Like People?, pp.215-230, 2012.
DOI : 10.1007/978-3-642-32323-2_9
URL : https://www.um.edu.mt/library/oar//bitstream/123456789/22848/1/Assessing_Believability.pdf

N. Fujii, Evaluating Human-like Behaviors of Video-Game Agents Autonomously Acquired with Biological Constraints Advances in Computer Entertainment, Lecture Notes in Computer Science, vol.8253, 2013.

. Shiratori, The Society for Art and Science Vol?7? No?2?P65-74, Japanese), 2008.

N. Shaker, The turing test track of the 2012 Mario AI Championship: Entries and evaluation, 2013 IEEE Conference on Computational Inteligence in Games (CIG), pp.1-8, 2013.
DOI : 10.1109/CIG.2013.6633634

T. L. Taylor, The Assemblage of Play, Games and Culture, vol.33, issue.1, pp.331-339, 2009.
DOI : 10.1111/j.1468-2958.2007.00306.x

A. Turing, Computing Machinery and Intelligence, pp.433-460, 1950.