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Chess endgame knowledge advances

By Guy McCrossan Haworth

Abstract

This review of recent developments starts with the publication of Harold van der Heijden's Study Database Edition IV, John Nunn's second trilogy on the endgame, and a range of endgame tables (EGTs) to the DTC, DTZ and DTZ50 metrics. It then summarises data-mining work by Eiko Bleicher and Guy Haworth in 2010. This used CQL and pgn2fen to find some 3,000 EGT-faulted studies in the database above, and the Type A (value-critical) and Type B-DTM (DTM-depth-critical) zugzwangs in the mainlines of those studies. The same technique was used to mine Chessbase's BIG DATABASE 2010 to identify Type A/B zugzwangs, and to identify the pattern of value-concession and DTM-depth concession in sub-7-man play

Publisher: The International Computer Games Association
Year: 2010
OAI identifier: oai:centaur.reading.ac.uk:16303

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Citations

  1. (2010). http://www.k4it.de/egtb/zugzwang.php Type A
  2. KRRKRR_KQkq is defined to be the endgame {position | position in KRRKRR and KQkq castling rights in place}.
  3. The combination of DGT boards, software and the 'DGT' protocol of centring Kings may be responsible for many of these.

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