Big data in cognitive science / edited by Michael N. Jones.

Format:

Book

Contributor:

Jones, Michael N., 1975- editor.

Series:

Frontiers of cognitive psychology

Language:

English

Subjects (All):

Cognitive science--Research--Data processing.

Cognitive science.

Data mining.

Big data.

Cognitive science--Research.

Physical Description:

viii, 373 pages ; 23 cm.

Place of Publication:

New York, NY : Routledge, 2017.

Summary:

While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive principles. However, we have to be able to put the pieces together in a reasonable way, which necessitates both advances in our theoretical models and development of new methodological techniques. The primary goal of this volume is to present cutting-edge examples of mining large-scale and naturalistic data to discover important principles of cognition and evaluate theories that would not be possible without such a scale. This book also has a mission to stimulate cognitive scientists to consider new ways to harness Big Data in order to enhance our understanding of fundamental cognitive processes. Finally, this book aims to warn of the potential pitfalls of using, or being over-reliant on, Big Data and to show bow Big Data can work alongside traditional, rigorously gathered experimental data rather than simply supersede it. In sum, this groundbreaking volume presents cognitive scientists and those in related fields with an exciting, detailed, stimulating, and realistic introduction to Big Data-and to show how it may greatly advance our understanding of the principles of human memory, perception, categorization, decision-making, language, problem-solving, and representation. Book jacket.

Contents:

1 Developing Cognitive Theory by Mining Large-scale Naturalistic Data / Michael N. Jones Jones, Michael N. 1

2 Sequential Bayesian Updating for Big Data / Zita Oravecz Oravecz, Zita, Matt Huentelman Huentelman, Matt, Joachim Vandekerckhove Vandekerckhove, Joachim 13

3 Predicting and Improving Memory Retention: Psychological Theory Matters in the Big Data Era / Michael C. Mozer Mozer, Michael C., Robert V. Lindsey Lindsey, Robert V. 34

4 Tractable Bayesian Teaching / Baxter S. Eaves Jr. Eaves, Baxter S., Jr., April M. Schweinhart Schweinhart, April M., Patrick Shafto Shafto, Patrick 65

5 Social Structure Relates to Linguistic Information Density / David W. Vinson Vinson, David W., Rick Dale Dale, Rick 91

6 Music Tagging and Listening: Testing the Memory Cue Hypothesis in a Collaborative Tagging System / Jared Lorince Lorince, Jared, Peter M. Todd Todd, Peter M. 117

7 Flickr® Distributional Tagspace: Evaluating the Semantic Spaces Emerging from Flickr® Tag Distributions / Mariannes Bolognesi Bolognesi, Mariannes 144

8 Large-scale Network Representations of Semantics in the Mental Lexicon / Simon De Deyne Deyne, Simon De, Yoed N. Kenett Kenett, Yoed N., David Anaki Anaki, David, Miriam Faust Faust, Miriam, Daniel Navarro Navarro, Daniel 174

9 Individual Differences in Semantic Priming Performance: Insights from the Semantic Priming Project / Melvin J. Yap Yap, Melvin J., Keith A. Hutchison Hutchison, Keith A., Luuan Chin Tan Tan, Luuan Chin 203

10 Small Worlds and Big Data: Examining the Simplification Assumption in Cognitive Modeling / Brendan Johns Johns, Brendan, Douglas J. K. Mewhort Mewhort, Douglas J. K., Michael N. Jones Jones, Michael N. 227

11 Alignment in Web-based Dialogue: Who Aligns, and How Automatic Is It? Studies in Big-Data Computational Psycholinguistics / David Reittor Reittor, David 246

12 Attention Economies, Information Crowding, and Language Change / Thomas T. Hills Hills, Thomas T., James S. Adelman Adelman, James S., Takao Noguchi Noguchi, Takao 270

13 Decision by Sampling: Connecting Preferences to Real-World Regularities / Christopher Y. Olivola Olivola, Christopher Y., Nick Chater Chater, Nick 294

14 Crunching Big Data with Fingertips: How Typists Tune Their Performance Toward the Statistics of Natural Language / Lawrence P. Behmer Jr. Behmer, Lawrence P., Jr., Matthew J. C. Crump Crump, Matthew J. C. 320

15 Can Big Data Help Us Understand Human Vision? / Michael J. Tarr Tarr, Michael J., Elissa M. Aminoff Aminoff, Elissa M. 343.

Notes:

Includes bibliographical references and index.

"A Psychology Press Book" -- Cover.

ISBN:

9781138791923

113879192X

9781138791930

1138791938

OCLC:

965759887