Computer Go | Wikipedia audio article
Channel: wikipedia tts
Date: 2019-01-13

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Computer_Go


00:00:23 1 Performance
00:01:41 1.1 Early decades
00:02:54 1.2 21st century
00:04:23 1.3 2015 onwards: The deep learning era
00:05:36 2 Obstacles to high-level performance
00:07:09 2.1 Size of board
00:07:48 2.2 Number of Move Options
00:08:26 2.3 Evaluation function
00:09:55 2.4 Combinatorial problems
00:10:38 2.5 Endgame
00:12:36 2.6 Order of play
00:12:52 3 Tactical search
00:13:52 4 State representation
00:15:41 5 System design
00:15:50 5.1 New approaches to problems
00:16:36 5.2 Design philosophies
00:17:26 5.2.1 Minimax tree search
00:20:02 5.2.2 Knowledge-based systems
00:22:22 5.2.3 Monte-Carlo methods
00:24:30 5.2.4 Machine learning
00:25:40 5.3 AlphaGo
00:26:11 6 Datasets
00:26:26 7 List of Go-playing computer programs
00:28:02 8 Competitions among computer Go programs
00:28:44 8.1 History
00:30:55 8.2 Rule Formalization Problems in computer-computer games
00:33:10 8.3 Testing
00:33:55 9 See also



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Voice name: en-AU-Wavenet-C


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- Socrates


SUMMARY
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Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays the traditional board game Go.  The game of Go has been a fertile subject of artificial intelligence research for decades, culminating in 2017 with AlphaGo winning three of three games against Ke Jie, who at the time continuously held the world No. 1 ranking for two years.