Academic research paper presenting a Monte Carlo method for precisely estimating the state-space complexity of Shogi. Applies probabilistic sampling techniques to a classical game-theory problem with potential implications for game-playing AI and complexity analysis.
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High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method
Academic research paper presenting a Monte Carlo method for precisely estimating the state-space complexity of Shogi. Applies probabilistic sampling techniques to a classical game-theory problem with potential implica...
Thursday, April 9, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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