Computational Modeling of Cognition and Behavior

Nonfiction, Health & Well Being, Psychology, Research, Science & Nature, Science
Cover of the book Computational Modeling of Cognition and Behavior by Simon Farrell, Stephan Lewandowsky, Cambridge University Press
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Author: Simon Farrell, Stephan Lewandowsky ISBN: 9781108547147
Publisher: Cambridge University Press Publication: January 31, 2018
Imprint: Cambridge University Press Language: English
Author: Simon Farrell, Stephan Lewandowsky
ISBN: 9781108547147
Publisher: Cambridge University Press
Publication: January 31, 2018
Imprint: Cambridge University Press
Language: English

Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.

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Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.

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