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Go

As explained in WordPress Power Toolkit: Harness AI to build next-level websites

Go is a two-player strategy board game in which players place stones on a grid to control territory and capture opposing stones.

Go is a two-player strategy board game in which players place stones on a grid to control territory and capture opposing stones. Its enormous range of possible positions makes complete move-by-move prediction impractical, creating a demanding test for strategic reasoning. section 13.3.3

Go became a landmark example of AI strategy because:

  • AlphaGo defeated leading human players, including Lee Sedol and Ke Jie. section 13.3.1 section 13.3.2
  • AlphaGo Zero received only the rules of Go, without prior games, human coaching, programming instructions, or expert tips. section 13.3.1
  • Its deep-learning system developed unfamiliar strategies that human experts initially found strange or incomprehensible. section 13.3.1 section 13.3.2

AlphaGo’s Move 37

During the second game against Lee Sedol in 2016, AlphaGo played Move 37. Experienced players initially viewed it as a mistake, but it became central to the victory and was later celebrated for challenging centuries of traditional Go knowledge. section 13.3.2

Figure 13.1 Even a simple game like tic-tac-toe with only nine squares has a fairly complex game tree diagram.

A game-tree diagram makes the scale of Go’s possible decisions easier to appreciate by comparing it with the smaller search space of tic-tac-toe. section 13.3.3

How WordPress Power Toolkit: Harness AI to build next-level websites covers it

How deep it goes
Defines the board and strategic challenge, then illustrates AI play; stops short of teaching Go rules, tactics, or complete game analysis.
Examples
Highlights AlphaGo’s matches with Lee Sedol and Ke Jie, especially the celebrated Move 37.
What it assumes
Assumes no advanced Go background and emphasizes that AlphaGo Zero began with only the rules of play.
What you can do after
Evaluate how Go demonstrates AI strategy, self-teaching, and decisions that can exceed human expectations.
How it connects
Connects Go with artificial intelligence, machine learning, deep learning, game-tree complexity, chess, and tic-tac-toe.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of WordPress Power Toolkit: Harness AI to build next-level websites. The section links point to the parts of the book it draws on.