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TECHNOLOGY, DISCOVERY & INNOVATION. UPDATED 6 MINUTES AGO.
You are here: Home / Computing / AlphaGo To Take on 5 Human Players
Artificial Intel System 'DeepMind AlphaGo' Ready To Show Off
Artificial Intel System 'DeepMind AlphaGo' Ready To Show Off
By Alex Hern Like this on Facebook Tweet this Link thison Linkedin Link this on Google Plus
PUBLISHED:
APRIL
17
2017
A year on from its victory over Go star Lee Sedol, Google DeepMind is preparing a "festival" of exhibition matches for its board game-playing AI, AlphaGo, to see how far it has evolved in the last 12 months.

Headlining the event will be a one-on-one match against the current number one player of the ancient Asian game, 19-year-old Chinese professional Ke Jie.

DeepMind has had its eye on this match since even before AlphaGo beat Lee. On the eve of his trip to Seoul in March 2016, the company's co-founder, Demis Hassabis, told the Guardian: "There's a young kid in China who's very, very strong, who might want to play us."

As well as the one-on-one match with Jie, which will be played over the course of three games, AlphaGo will take part in two other games with slightly odder formats.

One, "Pair Go," will see two human Go professionals play against each other, each partnered up with their own iteration of AlphaGo. The human and AI players will alternate, with each having to learn from, and adapt to, the moves played by their teammates.

Pair Go is similar to the concept of Advanced Chess, a new form of chess that was created after the defeat of Garry Kasparov at the hands of IBM's Deep Blue in 1997. Advanced Chess players work with a chess computer alongside them, using the machines as consultants to improve their play. The best Advanced Chess players tend to be better than both the best human players and the best solo chess machines, suggesting that human ingenuity still has something to add to the brute-force approach of the chess machines.

The other new format is Team Go, a more traditional "humanity vs the machines" setup that will involve a five-player team made up of China's top Go players taking AlphaGo head-on. It may seem like showboating, but the match will be useful for answering a question raised by AlphaGo's first victory: how good can anything, man or machine, get at playing Go? Are the best players and the best AIs already near to perfection, or is there a vast amount of improvement still possible?

DeepMind says both new formats have been created to try and see whether AlphaGo can be encouraged to show the same unorthodox thinking that it employed to defeat Lee. Most famously, move 37 of the AI's second game involved a tile placement almost unheard-of in top tier Go, and which Go strategists still talk about today.

A DeepMind spokesperson said: "One of the most exciting aspects of our match against Lee Sedol was the discovery of new creative strategies. This second event has been specifically designed to see what more new secrets can be unearthed, including through collaborative formats like Pair Go and Team Go."

Alongside the matches, taking place in late May in Wuzhen, China, DeepMind will host a conference to "explore how AlphaGo has created new knowledge about the oldest of games, and how the technologies behind AlphaGo, machine learning, and artificial intelligence, are bringing solutions to some of the world's greatest challenges into reach."

Editor's Note: The DeepMind blog indicates the "Future of Go Summit" matches will take place from May 23-27, 2017 in Wuzhen, in collaboration with the China Go Association and Chinese Government. Interspersed with the games will be a forum on the "Future of A.I."

© 2017 Guardian Web under contract with NewsEdge/Acquire Media. All rights reserved.
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Herb Doughty:
Posted: 2017-05-20 @ 7:52am PT
Perhaps AlphaGo would offer any interested players, human or AI, a chance to pick a time limit and board size (within given limits), then play a sequence of such games, beginning with the challenger having black first; then penalizing the winner by another move next game, until each player has won a game.

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