Comparing Typical Opening Move Choices Made by Humans and Chess Engines

TL;DR

This study compares human and machine opening move choices in chess using statistical analysis of game databases, revealing a strong overall correlation between their move preferences.

Contribution

It provides an empirical comparison of human and engine opening choices, highlighting their similarities through analysis of large game databases.

Findings

Strong association between human and machine move choices

Comparable opening move preferences in both groups

Analysis based on 26 test positions and nonparametric measures

Abstract

The opening book is an important component of a chess engine, and thus computer chess programmers have been developing automated methods to improve the quality of their books. For chess, which has a very rich opening theory, large databases of high-quality games can be used as the basis of an opening book, from which statistics relating to move choices from given positions can be collected. In order to find out whether the opening books used by modern chess engines in machine versus machine competitions are ``comparable'' to those used by chess players in human versus human competitions, we carried out analysis on 26 test positions using statistics from two opening books one compiled from humans' games and the other from machines' games. Our analysis using several nonparametric measures, shows that, overall, there is a strong association between humans' and machines' choices of opening moves when using a book to guide their choices.