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ThinkMind // ICSEA 2019, The Fourteenth International Conference on Software Engineering Advances // View article icsea_2019_9_40_10137


Computer Analysis of World Chess Championship Players

Authors:
Oscar Romero
Lorena Parra
Jose Fernando Cuenca
Jaime Lloret

Keywords: Chess; Computer Analysis; World Chess Championship.

Abstract:
In some sports, it is difficult to know who has been the best winner of the world championship. In athletism, it is not so difficult because world records clearly state which is the best mark. Nevertheless, in the case of chess, it is challenging to know who has been the best world chess championship player. Nowadays, it is well known that many chess engines can beat the best chess players in the world, so we can use it for comparison purposes. In this paper, we use one of the best chess engines, Stockfish 10, in order to know which world chess championship player is the best of all time. We have compared their moves during the world championship with the ones suggested by the chess engine in each game. Results show how good each one of them was, compared with Stockfish 10, which player obtained the greatest percentage of best moves during their games, how the quality of their moves evolved during the games and the average percentage of best moves throughout the games.

Pages: 200 to 205

Copyright: Copyright (c) IARIA, 2019

Publication date: November 24, 2019

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-752-8

Location: Valencia, Spain

Dates: from November 24, 2019 to November 28, 2019

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