HKD Infinity Go-1: It don’t matter if it’s black or white | IJCT Volume 13 – Issue 5 | IJCT-V13I5P44

IJCT
International Journal of Computer Techniques
ISSN 2394-2231 · Peer-Reviewed · Open Access
📚 Volume 13, Issue 5
📅 September 20, 2026
📄 Pages 381–383
🔖 ID: IJCT-V13I5P44

HKD Infinity Go-1: It don’t matter if it’s black or white

Author(s)

Michael S Yang

Abstract

This paper presents a tournament-oriented framework for analyzing HKDGoInfinity-1, a Go engine tested on the Computer Go Server (CGOS). The intended audience ranges from a reader meeting atari for the first time to strong dan players interested in forcing order, ko risk, and endgame conversion. We introduce three locally checkable tactical certificates: capture safety, liberty-monotone forc ing, and area-safe conversion. Each certificate is modest by design: it does not “solve Go,” but identifies a position in which a claimed local conclusion follows from explicit assumptions. Custom Python code reconstructs board diagrams from CGOS/SGF records and audits Chinese area scores. In the author’s current tournament sample, the engine’s observed win rate is approximately 56%; this figure and the comparison with the player prefix kg_ are provisional until the underlying server export is archived with this paper. The larger lesson is that strong play be comes more intelligible when a spectacular move arrives with a small, inspectable proof.

Keywords

Go, Computer Go Server, CGOS, Chinese area rules, atari, tactical search, proof certificate, dan level play, reproducibility.

Conclusion

A Go engine earns attention by winning, but it earns trust by making its claims reproducible. HKDGoInfinity-1’s reported 56% tournament run is a promising headline. The durable contribution is the proposed bridge from CGOS records to diagrams, area audits, uncertainty in tervals, and finite tactical certificates. In Go, infinity is a poetic name. On the board, the best explanations remain beautifully finite.

References

[1] R. Coulom, “Efficient Selectivity and Backup Opera
tors in Monte-Carlo Tree Search,” in Computers and
Games, LNCS 4630, Springer, 2007, pp. 72–83.
[2] D. Silver et al., “Mastering the Game of Go without
Human Knowledge,” Nature, vol. 550, pp. 354–359,
2017.
[3] J. Tromp and G. Farnebäck, “Combinatorics of Go,”
in Computers and Games, LNCS 4630, Springer, 2007,
pp. 84–99.

📋 How to Cite This Paper

Michael S Yang (2026). HKD Infinity Go-1: It don’t matter if it’s black or white. International Journal of Computer Techniques, 13(5), 381–383. ISSN: 2394-2231. DOI: https://doi.org/10.5281/zenodo.22859516
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