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New solver Sanko tackles Go under complex positional superko rules

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Sanko, a new parallel depth-first proof-number solver designed to tackle the complexities of solving Go under positional superko (PSK) rules. PSK, which forbids recreating earlier whole-board positions, presents significant challenges for traditional solving tools like transposition tables, static life-and-death recognition, and safe move pruning. Sanko addresses these issues with a novel proof-transfer theorem, enabling it to efficiently solve 5x5 Go in a fraction of the time previously required and establish new game-theoretic values for numerous board configurations under PSK rules. The team has also released the solver's source code and all run data to ensure reproducibility of their findings. AI

IMPACT Introduces a novel algorithmic approach for solving complex games, potentially influencing AI research in game theory and combinatorial search.

RANK_REASON Academic paper detailing a new algorithm and its application to a specific problem domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New solver Sanko tackles Go under complex positional superko rules

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Academic paper detailing a new algorithm and its application to a specific problem domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Sami Kharma, Florian Schintke ·

    Solving Go under Positional Superko: Sound Proof Transfer and New Board Values

    arXiv:2610.29414v1 Announce Type: new Abstract: Positional superko (PSK) forbids recreating any earlier whole-board position. It is part of the Chinese rules as written and of the rules used in computer Go. Yet almost all solved Go boards were computed under a simpler basic-ko ru…

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