Skip to Main content Skip to Navigation
Conference papers

Generating the Expression of the Move of Go by Classifier Learning

Abstract : The ancient Chinese board game, Go, with its simple rules yet highly complex strategies, requires players to encircle more territory than their opponent. However, owing to the rise in the capabilities of Go-playing software and a lack of Go instructors in Japan, there is a need for a software that actively assists human players in learning the high-level strategies required to win the game. This study focuses on generating a review for each consecutive player’s move. This paper studies how to generate an expression for each move based on the distribution of the stones on the board. To this task of generating the expression for each move in a game of Go, we apply a classifier learning technique.
Document type :
Conference papers
Complete list of metadata

Cited literature [5 references]  Display  Hide  Download
Contributor : Hal Ifip <>
Submitted on : Thursday, April 19, 2018 - 2:35:40 PM
Last modification on : Thursday, April 19, 2018 - 2:39:28 PM
Long-term archiving on: : Tuesday, September 18, 2018 - 1:40:56 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Natsumi Mori, Takehito Utsuro. Generating the Expression of the Move of Go by Classifier Learning. 16th International Conference on Entertainment Computing (ICEC), Sep 2017, Tsukuba City, Japan. pp.299-309, ⟨10.1007/978-3-319-66715-7_33⟩. ⟨hal-01771268⟩



Record views


Files downloads