After Google’s AlphaGo program beats Go champion, what’s next for AI?
Lee Se-Dol, right, a legendary South Korean player of Go — an ancient board game developed in China that is more complex than chess — makes a move during the Google DeepMind Challenge Match in Seoul. Join the conversation on Facebook >> Long a yardstick for advances in AI, the era of board game testing has come to an end, said Murray Campbell, an IBM research scientist who was part of the team that developed Deep Blue, the first computer program to beat a world chess champion. With AI having conquered what experts call “complete information” games — the kind in which players can see what their opponents are doing — Tuomas Sandholm, a professor at Carnegie Mellon University who studies artificial intelligence, said the next step is “incomplete information games” like poker. “That’s next,” said Thomas Johnson, founder of MotionFigures, a start-up that is bringing robotics and AI to toys. “The question in the test doesn’t require the computer to give a definition of gravity or recite an equation, but to describe a real world situation,” he said.
AlphaGo: Can an ancient Chinese board game give Google the keys to the Middle Kingdom?
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