Cited by 80Sport Psychology and PerformanceArtificial Intelligence in GamesAI-based Problem Solving and Planning

Specialization Effect and Its Influence on Memory and Problem Solving in Expert Chess Players

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Bilalić, Merim, McLeod, Peter, Gobet, Fernand·2009·Cognitive Science

Abstract

Expert chess players, specialized in different openings, recalled positions and solved problems within and outside their area of specialization. While their general expertise was at a similar level, players performed better with stimuli from their area of specialization. The effect of specialization on both recall and problem solving was strong enough to override general expertise—players remembering positions and solving problems from their area of specialization performed at around the level of players 1 standard deviation (SD) above them in general skill. Their problem‐solving strategy also changed depending on whether the problem was within their area of specialization. When it was, they searched more in depth and less in breadth; with problems outside their area of specialization, the reverse. The knowledge that comes from familiarity with a problem area is more important than general purpose strategies in determining how an expert will tackle it. These results demonstrate the link in experts between problem solving and memory of specific experiences and indicate that the search for context‐independent general purpose problem‐solving strategies to teach to future experts is unlikely to be successful.

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  • Chess masters asked to recall or find the best move in positions from chess openings that do not fall into their repertoire exhibit a drastic (about 1 SD) reduction in performance.

    “For example, chess masters who are asked to recall or find the best move in positions coming from chess openings that do not fall into their repertoire exhibit a drastic (about 1 SD) reduction in performance (Bilalić, McLeod, & Gobet, 2009).”

    From Cognitive and academic benefits of music training with children: A multilevel meta-analysis (2020) · cites this paper as Bilalić, McLeod, & Gobet, 2009

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Authors
Bilalić, M., McLeod, P., & Gobet, F.
Affiliations
  • University of Oxford (GB)
  • Brunel University of London (GB)
Corresponding author
Bilalić, Merim
Venue
Cognitive Science
Publisher
Wiley
Published
2009-07-23
Volume
33
Issue
6
Pages
1117-1143
ISSN
  • 0364-0213 (ISSN-L)
  • 1551-6709
OpenAlex
W2033301938
Cited by
80
References
3
Citations by year
2026: 5 · 2025: 4 · 2024: 4 · 2022: 8 · 2021: 3 · 2020: 8 · 2019: 3 · 2018: 3 · 2017: 5 · 2016: 3 · 2015: 2 · 2014: 8 · 2013: 9 · 2012: 4
FWCI
8.71
Type
journal article
Language
en
Open access
Locations
  • Cognitive Science (publishedVersion)
  • PubMed (publishedVersion)
  • Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
Funders
  • University of Oxford
  • Economic and Social Research Council (PTA-026-27-1014)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
  • Physical Sciences › Computer Science › Artificial Intelligence › AI-based Problem Solving and Planning
Keywords
chess expertise, problem solving, problem-solving strategies, domain knowledge

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