Abstract

The respective roles of knowledge and search have received considerable attention in the literature on expertise. However, most of the evidence on knowledge has been indirect – e.g., by inferring the presence of chunks in long-term memory from performance in memory recall tasks. Here we provide direct estimates of the amount of monochrestic (single use) and rote knowledge held by chess players of varying skill levels. From a large chess database, we analyzed 76,562 games played in 2008 by individuals ranging from Class B players (average players) to Masters to measure the extent to which players deviate from previously known initial sequences of moves (“openings”). Substantial differences were found in the number of moves known by players of different skill levels, with more expert players knowing more moves. Combined with assumptions independently made about the branching factor in master games, we estimate that masters have memorized about 100,000 opening moves. Our results support the hypothesis that monochrestic knowledge is essential for reaching high levels of expertise in chess. They provide a direct, quantitative estimate of the number of opening moves that players have to know to reach master level.

Highlights

  • A classic debate in the research into expertise concerns the respective roles of knowledge and search

  • Based on these results and other data in the literature, we provide mathematical models aimed at estimating the number of opening moves that are known by players of different levels

  • We provide estimates of the amount of opening knowledge that players of different levels of skill hold

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Summary

Introduction

A classic debate in the research into expertise concerns the respective roles of knowledge and search. We present evidence supporting the role of non-declarative and declarative knowledge This will bring us to the central question of this paper – the role of monochrestic knowledge in expert behavior. This issue will be investigated by exploring the extent to which players of different skill levels know sequences of moves in the opening phase of the game. An analysis of a large number of games played by players of four different levels will allow us to estimate the average depth of the known opening sequences as a function of skill. Based on these results and other data in the literature, we provide mathematical models aimed at estimating the number of opening moves that are known by players of different levels

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