Searching for answers: expert pattern recognition and planning

Fernand Gobet; Andrew J. Waters

doi:10.1016/j.tics.2023.07.006

Searching for answers: expert pattern recognition and planning

Fernand Gobet^*
, Andrew J. Waters

^*Corresponding author for this work

Medical & Clinical Psychology

Research output: Contribution to journal › Short survey › peer-review

4 Scopus citations

Abstract

Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.

Original language	English
Pages (from-to)	788-790
Number of pages	3
Journal	Trends in Cognitive Sciences
Volume	27
Issue number	9
DOIs	https://doi.org/10.1016/j.tics.2023.07.006
State	Published - Sep 2023

Keywords

board games
chunking
expertise
modeling
pattern recognition
search

Access to Document

10.1016/j.tics.2023.07.006

Cite this

@article{bcf7864d71644a7aaf3edf85fbdbb0ea,

title = "Searching for answers: expert pattern recognition and planning",

abstract = "Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.",

keywords = "board games, chunking, expertise, modeling, pattern recognition, search",

author = "Fernand Gobet and Waters, \{Andrew J.\}",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

month = sep,

doi = "10.1016/j.tics.2023.07.006",

language = "English",

volume = "27",

pages = "788--790",

journal = "Trends in Cognitive Sciences",

issn = "1364-6613",

publisher = "Elsevier Ltd",

number = "9",

}

TY - JOUR

T1 - Searching for answers

T2 - expert pattern recognition and planning

AU - Gobet, Fernand

AU - Waters, Andrew J.

PY - 2023/9

Y1 - 2023/9

N2 - Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.

AB - Does expertise mostly stem from pattern recognition or look-ahead search? van Opheusden et al. contribute to this important debate in cognitive psychology and artificial intelligence (AI) with a multi-method, multi-experiment study and a new model. Using a novel, relatively simple board game, they show that players increase depth of search when improving their skill.

KW - board games

KW - chunking

KW - expertise

KW - modeling

KW - pattern recognition

KW - search

UR - https://www.scopus.com/pages/publications/85166075045

U2 - 10.1016/j.tics.2023.07.006

DO - 10.1016/j.tics.2023.07.006

M3 - Short survey

C2 - 37507243

AN - SCOPUS:85166075045

SN - 1364-6613

VL - 27

SP - 788

EP - 790

JO - Trends in Cognitive Sciences

JF - Trends in Cognitive Sciences

IS - 9

ER -

Searching for answers: expert pattern recognition and planning

Abstract

Keywords

Access to Document

Fingerprint

Cite this