کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381907 659855 2012 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR)
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR)
چکیده انگلیسی

The efficiency of three forward-pruning techniques, i.e., futility pruning, null-move pruning, and LMR, is analyzed in shogi, a Japanese chess variant. It is shown that the techniques with the α–β pruning reduce the effective branching factor of shogi endgames to 2.8 without sacrificing much accuracy of the search results. Because the average number of the raw branching factor in shogi is around 80, the pruning techniques reduce the search space more effectively than in chess.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Entertainment Computing - Volume 3, Issue 3, August 2012, Pages 51–57
نویسندگان
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