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The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective
[article]
2018
arXiv
pre-print
The recently released AlphaZero algorithm achieves superhuman performance in the games of chess, shogi and Go, which raises two open questions. Firstly, as there is a finite number of possibilities in the game, is there a quantifiable intelligence measurement for evaluating intelligent systems, e.g. AlphaZero? Secondly, AlphaZero introduces sophisticated reinforcement learning and self-play to efficiently encode the possible states, is there a simple information-theoretic model to represent the
arXiv:1812.05794v2
fatcat:caue526ruzfmjheklvdhy5p3e4