Manifesto for a new (computational) cognitive revolution

被引：63

作者：

Griffiths, Thomas L. ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA

来源：

COGNITION | 2015年 / 135卷

基金：

美国国家科学基金会;

关键词：

Computational modeling; Big data; Crowdsourcing; CATEGORIZATION;

D O I：

10.1016/j.cognition.2014.11.026

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

The cognitive revolution offered an alternative to merely analyzing human behavior, using the notion of computation to rigorously express hypotheses about the mind. Computation also gives us new tools for testing these hypotheses - large behavioral databases generated by human interactions with computers and with one another. This kind of data is typically analyzed by computer scientists, who focus on predicting people's behavior based on their history. A new cognitive revolution is needed, demonstrating the value of minds as intervening variables in these analyses and using the results to evaluate models of human cognition. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：21 / 23

页数：3

共 26 条

[1]

[Anonymous], P 33 ANN C COGN SCI

[2]

[Anonymous], P 34 ANN C COGN SCI

[3]

[Anonymous], ADV NEURAL INFORM PR

[4] Latent Dirichlet allocation [J].

Blei, DM ;

Ng, AY ;

Jordan, MI .

JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) :993-1022

[5] Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data? [J].

Buhrmester, Michael ;

Kwang, Tracy ;

Gosling, Samuel D. .

PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2011, 6 (01) :3-5

[6] Revealing human inductive biases for category learning by simulating cultural transmission [J].

Canini, Kevin R. ;

Griffiths, Thomas L. ;

Vanpaemel, Wolf ;

Kalish, Michael L. .

PSYCHONOMIC BULLETIN & REVIEW, 2014, 21 (03) :785-793

[7] Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research [J].

Crump, Matthew J. C. ;

McDonnell, John V. ;

Gureckis, Todd M. .

PLOS ONE, 2013, 8 (03)

[8]

GARDNER Howard, 1987, The minds new science: A history of the cognitive revolution

[9] Harnessing naturally occurring data to measure the response of spending to income [J].

Gelman, Michael ;

Kariv, Shachar ;

Shapiro, Matthew D. ;

Silverman, Dan ;

Tadelis, Steven .

SCIENCE, 2014, 345 (6193) :212-215

[10] Categorization in the wild [J].

Glushko, Robert J. ;

Maglio, Paul P. ;

Matlock, Teenie ;

Barsalou, Lawrence W. .

TRENDS IN COGNITIVE SCIENCES, 2008, 12 (04) :129-135

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