Name
Abstract | ||
|---|---|---|
Van der Heijden's ENDGAME STUDY DATABASE IV, HHDBIV, is the definitive collection of 76,132 chess studies. The zugzwang position or zug, one in which the side to move would prefer not to, is a frequent theme in the literature of chess studies. In this third data-mining of HHDBIV, we report on the occurrence of sub-7-man zugs there as discovered by the use of CQL and Nalimov endgame tables (EGTs). We also mine those Zugzwang Studies in which a zug more significantly appears in both its White-to-move (wtm) and Black-to-move (btm) forms. We provide some illustrative and extreme examples of zugzwangs in studies. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.3233/ICG-2011-34205 | ICGA JOURNAL |
Field | DocType | Volume |
Computer science,Simulation,Chess endgame,Artificial intelligence | Journal | 34 |
Issue | ISSN | Citations |
2 | 1389-6911 | 1 |
PageRank | References | Authors |
0.67 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| guy haworth | 1 | 1 | 1.01 |
| h m j f van der heijden | 2 | 1 | 0.67 |
| Eiko Bleicher | 3 | 2 | 1.98 |