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Mistake patterns among human Go players : Insights from AI
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- 발행기관
- 국제바둑학회(구 한국바둑학회) 바로가기
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- 간행물
- 바둑학연구 바로가기
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- 통권
- 제19권 제1호 통권33호 (2025.05)바로가기
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- 페이지
- pp.89-108
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A467554
원문정보
초록
- 한국어
- Artificial Intelligence (AI) is now routinely used by Go players to review their games. Analyzing individual mistakes helps players identify their weaknesses. However, deriving generalizable insights requires a broader analysis of mistake patterns. In this study, 100,682 AI-scored amateur and professional Go games are studied to investigate mistake patterns. Three different ranks are examined, ranging from low-level amateurs to top professionals. Various move features such as height, distance to previous move, and adjacent stones are analyzed to gain a deeper understanding of these mistake patterns. The key findings are as follows: (1) a noticeable improvement in opening performance among professional players since 2017; (2) a significant performance gap in the endgame between professionals (who exhibit near-optimal play) and amateurs; and (3) areas for improvement in tactical skills among amateurs, particularly in first-line and sacrificial moves.
목차
Abstract
Ⅰ. Introduction
Ⅱ. Methods
1. Data curation
2. Definitions
Ⅲ. Results
1. Mistake patterns before AlphaZero (before 2017)
2. Influence of AlphaZero on professional players mistake patterns (after 2017)
Ⅳ. Discussion
Ⅴ. Conclusions
References
저자
간행물 정보
발행기관
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- 발행기관명
- 국제바둑학회(구 한국바둑학회) [International Society of Go Studies]
- 설립연도
- 2003
- 분야
- 예술체육>기타예술체육
간행물
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- 간행물명
- 바둑학연구 [Journal of Go Studies]
- 간기
- 반년간
- pISSN
- 1738-3730
- 수록기간
- 2004~2026
- 십진분류
- KDC 691 DDC 794
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