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Novice construction of chess memory

Pertti Saariluoma

Cognitive Science, University of Helsinki, Finland

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Tei Laine

Cognitive Science, University of Helsinki, Finland

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First published: 21 December 2001
Cited by: 7
Tei Laine Cognitive Science, University of Helsinki, P.O. Box 13, FIN‐ 00014 University of Helsinki, Finland

Abstract

Novice acquisition of skilled recall of chess positions was studied in an experiment in which two novices studied a series of five hundred chess positions during a period of several months. They spent fifteen minutes to half an hour a day teaching themselves these positions. As a result their skill in recalling chess positions rose from sixteen percent to somewhere between forty to fifty percent. The learning curve proved to have a shape which indicates that in the beginning learning is very fast but after some 100–150 studied positions the speed of learning decreases substantially.

A computer simulation was used to model the results and analyse alternative explanations. Two alternative ways of thinking were tested. In the first, chunk construction was assumed to be based on the neighbourhood of associated pieces. The second model assumed a frequency‐based correlative association process. Although the learning curves of the two models are very similar in shape to those of the subjects, the frequency‐based associative model gave a better explanation for the data. This is why it is natural to suggest that common co‐occurrence in addition to easily recognizable chess‐specific characteristics, like colour and type of pieces, guide associative processes during chess players’ learning of chess‐specific chunks.

Number of times cited: 7

  • , Chunks, Schemata, and Retrieval Structures: Past and Current Computational Models, Frontiers in Psychology, 6, (2015).
  • , Formation of Novice Business Students’ Mental Models Through Simulation Gaming, Simulation & Gaming, 44, 6, (846), (2013).
  • , Patterns of theorizing about chess skill – Commentary on Linhares and Freitas (2010) and Lane and Gobet (2011), New Ideas in Psychology, 30, 3, (322), (2012).
  • , How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework, Brain and Cognition, 79, 3, (221), (2012).
  • , Teaching the novice programmer: A study of instructional sequences and perception, Education and Information Technologies, 17, 3, (291), (2012).
  • , In search of templates, Cognitive Systems Research, 3, 1, (35), (2002).
  • , Réseaux de discrimination en psychologie: L'exemple de CHREST1, Swiss Journal of Psychology, 60, 4, (264), (2001).