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Efficiency of three forward-pruning techniques in shogi: Futility pruning, null-move pruning, and Late Move Reduction (LMR)
- Source :
- Entertainment Computing. 3:51-57
- Publication Year :
- 2012
- Publisher :
- Elsevier BV, 2012.
-
Abstract
- 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.
- Subjects :
- Japanese chess
business.industry
Computer science
games.game
Branching factor
Brute-force search
Machine learning
computer.software_genre
Human-Computer Interaction
Reduction (complexity)
Null (SQL)
Principal variation search
Null-move heuristic
Pruning (decision trees)
Artificial intelligence
business
Algorithm
computer
Software
games
Subjects
Details
- ISSN :
- 18759521
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Entertainment Computing
- Accession number :
- edsair.doi...........0b95bf9c5fd6b09f785af0634bce6df7
- Full Text :
- https://doi.org/10.1016/j.entcom.2011.11.003