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2008
Springer

Extended Null-Move Reductions

8 years 4 months ago
Extended Null-Move Reductions
Abstract. In this paper we review the conventional versions of nullmove pruning, and present our enhancements which allow for a deeper search with greater accuracy. While the conventional versions of nullmove pruning use reduction values of R 3, we use an aggressive reduction value of R = 4 within a verified adaptive configuration which maximizes the benefit from the more aggressive pruning, while limiting its tactical liabilities. Our experimental results using our grandmasterlevel chess program, Falcon, show that our null-move reductions (NMR) outperform the conventional methods, with the tactical benefits of the deeper search dominating the deficiencies. Moreover, unlike standard null-move pruning, which fails badly in zugzwang positions, NMR is impervious to zugzwangs. Finally, the implementation of NMR in any program already using null-move pruning requires a modification of only a few lines of code.
Omid David-Tabibi, Nathan S. Netanyahu
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where CG
Authors Omid David-Tabibi, Nathan S. Netanyahu
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