Big data in cognitive science
Información General
- Autores: Michael N. Jones
- Editores: New York, NY : Routledge
- Año de publicación: 2017
- País: España
- Idioma: español
- ISBN: 978-1-138-79193-0
- Texto completo no disponible (Saber más ...)
Otros catálogos
Listado de artículos
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págs. 1-12
págs. 13-33
Predicting and Improving Memory Retention: Psychological Theory Matters in the Big Data Era
págs. 34-64
págs. 65-90
págs. 91-116
Music Tagging and Listening: Testing the Memory Cue Hypothesis in a Collaborative Tagging System
págs. 117-143
Flickr Distributional Tagspace: Evaluating the Semantic Spaces Emerging from Flickr Tags Distributions
págs. 144-173
Large-Scale Network Representations of Semantics in the Mental Lexicon
Simon De Deyne, Yoed N. Kenett, David Anaki, Miriam Faust, Daniel Navarro
págs. 174-202
Individual Differences in Semantic Priming Performance: Insights from the Semantic Priming Project
págs. 203-226
Small Worlds and Big Data: Examining the Simplification Assumption in Cognitive Modeling
págs. 227-245
Alignment in Web-based Dialogue: Who Aligns, and how Automatic is it? Studies in Big-Data Computational Psycholinguistics
págs. 246-269
págs. 270-293
Decision by Sampling: Connecting Preferences to Real-World Regularities
Christopher Y. Olivola, Nick Chater
págs. 294-319
Crunching Big Data with Fingertips: How Typists Tune Their Performance Toward the Statistics of Natural Language
págs. 320-342
Can Big Data Help Us Understand Human Vision?
Michael J. Tarr, Elissa M. Aminoff
págs. 343-364
