New York
A computer program defeated a champion in the human ancestral Chinese board game Go, This represents an important advance in the development of artificial intelligence.
The program taught himself to win and show that its developers are learning strategy that someday will allow the Computers solve real life as medical diagnosis and scientific research.
Both the program and its success are described in an article published on Wednesday by the journal Nature.
Previously, computers had beaten humans in other games, including chess, checkers and backgammon. But among the classic games, Go is long considered as the most difficult to master for artificial intelligence.
The game Go originated in China over 2,500 years ago. Involving two players take turns placing pieces on a chess-like board. The aim is to occupy most of the board with one color chips and capture the opponent’s pieces to surround them with their own.
Even though the rules are simple, not easy to play well . “It’s probably the most complex game invented by humans,” Dennis said Tuesday DeepMind Hassabis of Google in London, one of the study’s authors.
The new program, AlphaGo defeated Last October the European champion in the five games of a match, according to the report in Nature.
In March, Alpha Go will face the legendary player Lee Sedol in Seoul, Korea South, for a prize of one million dollars, Hassabis said.
Martin Mueller, professor of computer science at the University of Alberta, Canada, who has worked with Go programs during 30 years but did not participate in AlphaGo, said the new program “is a really important about everything we’ve seen step. It’s a very, very impressive work.”
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