Goto

Collaborating Authors

How the Computer Beat the Go Master

#artificialintelligence

God moves the player, he in turn the piece. But what god beyond God begins the round Of dust and time and sleep and agony? As I write this column, a computer program called AlphaGo is beating the professional go player Lee Sedol at a highly publicized tournament in Seoul. Sedol is among the top three players in the world, having attained the highest rank of nine dan. The victory over one of humanity's best representatives of this very old and traditional board game is a crushing 4 to 1, with one more game to come.


How the Computer Beat the Go Master

#artificialintelligence

God moves the player, he in turn the piece. But what god beyond God begins the round Of dust and time and sleep and agony? As I write this column, a computer program called AlphaGo is beating the professional go player Lee Sedol at a highly publicized tournament in Seoul. Sedol is among the top three players in the world, having attained the highest rank of nine dan. The victory over one of humanity's best representatives of this very old and traditional board game is a crushing 3 to 1, with one more game to come.


What Alpha Go means for the rest of us?

#artificialintelligence

AlphaGo, from Google's DeepMind, made history today with its historic 4–1 defeat of Go world champion, Lee Sedol. Prior to the five-game match, many Go experts, including Mr. Lee himself predicted that the machine would be defeated 5–0 or, if it did well, 4–1. The result was quite the opposite with Mr. Lee managing just one win. This is both a shock for Go players, and represents an achievement in AI that many had not expected for at least another decade. Games, and in particular abstract strategy games like Go, chess and draughts have been a staple of AI research since its inception.


Learning Opening Strategy in the Game of Go

AAAI Conferences

In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best computer programs play only at the level of an advanced beginning human player. While the evaluation function in most computer Go programs consists of a carefully crafted combination of pattern matchers, expert rules, and selective search, we employ a neural network trained by self-play using temporal difference learning. Our focus is on the sequence of moves made at the beginning of the game. Experimental results indicate that our approach is effective for learning opening strategy, and they also identify higherlevel features of the game that improve the quality of the learned evaluation function.


God of Go: The Rise of Superhuman Intelligence Without Human Knowledge - The Wire

#artificialintelligence

Siby Abraham is a computer scientist specialising in artificial intelligence. He is an associate professor and head of the department of mathematics and statistics at Guru Nanak Khalsa College, Mumbai. How many years does it take for a child that does not know anything about English to master it at a Shakespearean level? Suppose also that there is no book, no help and no support (human or non-human) at all times. Recent research in artificial intelligence (AI) suggests that, if you replaced the child with a learning computer, the time taken could be in the order of a few days.