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Computational Analysis of Komi and Fairness in Go: An AI-Based Approach Using KataGo

This study utilizes KataGo self-play simulations to model the relationship between komi and game outcomes, revealing that fair komi values follow a logistic distribution and vary by board size and scoring rules, thereby challenging traditional assumptions about half-point increments and the mathematical basis of fairness in Go.

Original authors: Siheng Ye, Jingmao Wang, Ying Zhao, Ziyu Wang, Peijun Zhu, Tianchen Liu, Yan Chen, Xing Yang, Zi Chen

Published 2026-10-21
📖 1 min read☕ Coffee break read

Original authors: Siheng Ye, Jingmao Wang, Ying Zhao, Ziyu Wang, Peijun Zhu, Tianchen Liu, Yan Chen, Xing Yang, Zi Chen

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

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