Introduction to Artificial Psychology

£179.50

Introduction to Artificial Psychology

Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R

Psychology Cognition and cognitive psychology Philosophy of mind Artificial intelligence Machine learning

Authors: Hojjatollah Farahani, Marija Blagojevic, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi

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Collection: Behavioral Science and Psychology

Language: English

Published by: Springer

Published on: 18 May 2023

Format: LCP-protected ePub

ISBN: 9783031311727


Artificial Psychology (AP) and Its Scope

Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by simplifying the models being studied. This stance has not received much practical attention recently.

Advancements and Methodologies

Promoting and improving artificial intelligence helps mind researchers to find a holistic model of mental models. This development achieves this goal by using multiple perspectives and multiple data sets together with interactive, and realistic models. In this book, the methodology of approximate inference in psychological research from a theoretical and practical perspective has been considered. Quantitative variable-oriented methodology and qualitative case-oriented methods are both used to explain the set-oriented methodology and this book combines the precision of quantitative methods with information from qualitative methods.

Target Audience and Practical Use

This is a book that many researchers can use to expand and deepen their psychological research and is a book which can be useful to postgraduate students. The reader does not need an in-depth knowledge of mathematics or statistics because statistical and mathematical intuitions are key here and they will be learned through practice. What is important is to understand and use the new application of the methods for finding new, dynamic and realistic interpretations.

Technologies and Key Concepts

This book incorporates theoretical fuzzy inference and deep machine learning algorithms in practice. This is the kind of book that we wished we had had when we were students. This book covers at least some of the most important issues in mind research including uncertainty, fuzziness, continuity, complexity and high dimensionality which are inherent to mind data. These are elements of artificial psychology.

Implementation and Tools

This book implements models using R software.

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