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Categorization and Abstract Similarity in Chess

León-Villagrá, P. and Jäkel, F.
Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I. (eds.) (2013):
Categorization and Abstract Similarity in Chess.
Austin, TX, In: Annual Conference of the Cognitive Science Society 2013, Austin, TX, [Online-Edition: https://mindmodeling.org/cogsci2013/papers/0513/paper0513.pd...],
[Conference or Workshop Item]

Abstract

Chess experts remember meaningful chess positions better than novices (de Groot, 1978; Chase & Simon, 1973). This can be explained with a larger number of chunks in experts’ long-term memory (Gobet & Simon, 1998). These chunks are mainly based on visual representations — that is, pieces on squares. However, a recent experiment highlighted that experts prefer to group chess positions by abstract similarities that cannot be explained purely visually (Linhares & Brum, 2007). Based on these data it was claimed that chess expertise, in addition to chunks, crucially relies on abstraction and analogies. These data and the conclusions were heavily criticized because the instructions strongly biased the participants to group positions in a certain way (Bilalic & Gobet, 2009). Here, we successfully replicated this experiment with less explicit instructions. In addition, we collected category labels for the groupings that allowed us to explore the abstract principles that participants used.

Item Type: Conference or Workshop Item
Erschienen: 2013
Editors: Knauff, M. and Pauen, M. and Sebanz, N. and Wachsmuth, I.
Creators: León-Villagrá, P. and Jäkel, F.
Title: Categorization and Abstract Similarity in Chess
Language: English
Abstract:

Chess experts remember meaningful chess positions better than novices (de Groot, 1978; Chase & Simon, 1973). This can be explained with a larger number of chunks in experts’ long-term memory (Gobet & Simon, 1998). These chunks are mainly based on visual representations — that is, pieces on squares. However, a recent experiment highlighted that experts prefer to group chess positions by abstract similarities that cannot be explained purely visually (Linhares & Brum, 2007). Based on these data it was claimed that chess expertise, in addition to chunks, crucially relies on abstraction and analogies. These data and the conclusions were heavily criticized because the instructions strongly biased the participants to group positions in a certain way (Bilalic & Gobet, 2009). Here, we successfully replicated this experiment with less explicit instructions. In addition, we collected category labels for the groupings that allowed us to explore the abstract principles that participants used.

Place of Publication: Austin, TX
Divisions: 03 Department of Human Sciences
03 Department of Human Sciences > Institute for Psychology
03 Department of Human Sciences > Institute for Psychology > Models of Higher Cognition
Event Title: Annual Conference of the Cognitive Science Society 2013
Event Location: Austin, TX
Date Deposited: 09 Jul 2018 09:18
Official URL: https://mindmodeling.org/cogsci2013/papers/0513/paper0513.pd...
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