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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/825

Title: Adaptive expert decision making: Skilled chess players search more and deeper
Authors: Campitelli, G
Gobet, F
Keywords: Search
Pattern recognition
Chess
Skill
Expertise
Depth of search
Problem solving
Rate of search
Master
Practice
Time-constrained decision making
Decision making
Expert thinking
Evaluation
Time pressure
Task demands
De Groot
Holding
Publication Date: 2004
Publisher: International Computer Games Association
Citation: Journal of the International Computer Games Association, 27 (4): 209-216, Dec 2004
Abstract: Previous research has suggested that depth of search in chess does not increase much as a function of skill. We submitted players to a problem-solving task with complex positions. We found a strong skill effect in depth of search, rate of search, and number of nodes generated. At the level of strong masters, the absolute values of these variables were much higher than in previous studies (sometimes 10 times higher). Supplementary data on memory, practice, reaction times, and time-constrained decision making (a maximum decision time of 10 seconds) indicated that players’ behaviour was consistent with the behaviour of players previously studied in the literature and with predictions of theories based on pattern recognition. Beyond adding support to the hypothesis that both the ability to search and pattern recognition are relevant aspects of expert thinking, these results are important in showing that previous research has vastly underestimated experts’ search potential. We conclude that long-term memory knowledge allows both extensive search and rapid evaluation when making decisions under time pressure. Players adaptively use either problem-solving method depending on the demands of the task.
URI: http://bura.brunel.ac.uk/handle/2438/825
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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