National Yang Ming Chiao Tung University
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1 document by National Yang Ming Chiao Tung University in the Game Industry Library, the newest “Solving 7x7 Killall-Go with Seki Database” (2025).
Documents
Whitepaper11 pages
Solving 7x7 Killall-Go with Seki Database
The research addresses the computational challenge of solving 7x7 Killall-Go, a variant of Go where Black attempts to capture all White stones.
- Integrating a pre-computed seki database into a 7x7 Killall-Go solver increases the success rate for positions containing seki patterns from below 7% to over 85%.
- The use of a seki lookup table enables the resolution of previously unsolvable positions within 482 seconds, compared to a 24-hour timeout threshold.
- General performance metrics show a 10% to 20% improvement in both wall-clock time and node count when utilizing the database for game solving.
National Yang Ming Chiao Tung UniversityJan 2025
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