Introduction To Intricate Artificial Psychology With Python
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Introduction To Intricate Artificial Psychology With Python
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Author : Peter Watson
language : en
Publisher: Academic Press
Release Date : 2025-09-01
Introduction To Intricate Artificial Psychology With Python written by Peter Watson and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-01 with Psychology categories.
Introduction to Intricate Artificial Psychology with Python unlocks the mysteries of Intricate Artificial Psychology (iAp). This comprehensive guide takes readers through advanced cognitive frameworks and the complex landscape of artificial psychology using Python. Starting with an introduction to iAp, the book explores degrees of prediction and applies Fuzzy Cognitive Maps (IAP). Special focus is given to detecting implicit bias through a combination of Fuzzy Cognitive Maps and SHAP values, offering a unique perspective on artificial intelligence and psychological phenomena. The book covers forecasting in iAp, complex network analysis, and psychological graph analysis (Pga). It delves into the intersection of deep learning and neuroimaging, as well as machine learning techniques in neuroimaging. It includes practical case studies, allowing readers to apply cutting-edge techniques to real-world psychological scenarios.
An Introduction To Artificial Psychology
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Author : Hojjatollah Farahani
language : en
Publisher: Springer Nature
Release Date : 2023-05-18
An Introduction To Artificial Psychology written by Hojjatollah Farahani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-18 with Psychology categories.
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. 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. 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. 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. This book implements models using R software.
Artificial Intelligence Methodology Systems And Applications
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Author : Petia Koprinkova-Hristova
language : en
Publisher: Springer Nature
Release Date : 2025-01-31
Artificial Intelligence Methodology Systems And Applications written by Petia Koprinkova-Hristova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024, held in Varna, Bulgaria, during September 18–20, 2024. The 18 revised full papers presented in this book were carefully reviewed and selected from 23 submissions. They cover a wide range of topics in AI and its applications: natural language processing, sentiment analyses, image processing, optimization, reinforcement learning, from deep ANNs to spike timing NNs, applications in economics, medicine and process control.
Reinforcement Learning
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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Reinforcement Learning written by Richard S. Sutton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.
Machine Learning In Farm Animal Behavior Using Python
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Author : Natasa Kleanthous
language : en
Publisher: CRC Press
Release Date : 2025-03-07
Machine Learning In Farm Animal Behavior Using Python written by Natasa Kleanthous and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Science categories.
This book is a comprehensive guide to applying machine learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and ethology, followed by an exploration of machine learning techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning. The practical section covers essential steps like data collection, preprocessing, exploratory data analysis, feature extraction, model training, and evaluation, using Python. The book emphasizes the importance of high-quality data and discusses various sensors and annotation methods for effective data collection. It addresses key machine learning challenges such as generalization and data issues. Advanced topics include feature selection, model selection, hyperparameter tuning, and deep learning algorithms. Practical examples and Python implementations are provided throughout, offering hands-on experience for researchers, students, and professionals aiming to apply machine learning to animal behavior analysis.
Exploring Artificial Intelligence A Student S Handbook
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Author : Dr Thiyagarajan Sivaprakasam
language : en
Publisher: THIYAGARAJAN SIVAPRAKASAM
Release Date : 2024-05-15
Exploring Artificial Intelligence A Student S Handbook written by Dr Thiyagarajan Sivaprakasam and has been published by THIYAGARAJAN SIVAPRAKASAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.
Exploring Artificial intelligence: A Student’s Handbook is a comprehensive educational guide designed to demystify Al for students, covering foundational theories and practical applications across twenty chapters. It progresses from basic machine learning algorithms to advanced topics, incorporating interactive quizzes, “Did You Know?” facts, and real-world examples to enrich learning. The book emphasizes hands-on interaction with Al through step-by-step activities, aiming to bridge theory and practice. It also addresses the ethical, societal, and futuristic aspects of Al, encouraging readers to consider the broader implications of Al technologies. This handbook serves as a foundational resource for aspiring Al enthusiasts, researchers, and practitioners, fostering a deeper understanding of Al’s impact on the future.
Data Analysis With Machine Learning For Psychologists
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Author : Chandril Ghosh
language : en
Publisher: Springer Nature
Release Date : 2022-10-17
Data Analysis With Machine Learning For Psychologists written by Chandril Ghosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-17 with Psychology categories.
The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.
Artificial Intelligence Methodology Systems And Applications
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Author : Christo Dichev
language : en
Publisher: Springer
Release Date : 2016-08-17
Artificial Intelligence Methodology Systems And Applications written by Christo Dichev and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-17 with Computers categories.
This book constitutes the refereed proceedings of the 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2016, held in Varna, Bulgaria in September 2015. The 32 revised full papers 6 poster papers presented were carefully reviewed and selected from 86 submissions. They cover a wide range of topics in AI: from machine learning to natural language systems, from information extraction to text mining, from knowledge representation to soft computing; from theoretical issues to real-world applications.
Handbook Of Python Navigating Ai And Machine Learning
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Author : Dr. Preeti Yadav
language : en
Publisher: GEH Press
Release Date : 2024-11-24
Handbook Of Python Navigating Ai And Machine Learning written by Dr. Preeti Yadav and has been published by GEH Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-24 with Computers categories.
In the vast landscape of programming languages, Python stands out as a versatile and powerful tool that has gained immense popularity in recent years. With its clean syntax, ease of use, and extensive libraries, Python has become the go-to choice for beginners and experienced developers alike. This chapter serves as a comprehensive introduction to the fundamental concepts and building blocks of Python programming.
Machine Learning With Python Theory And Applications
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Author : Gui-rong Liu
language : en
Publisher: World Scientific
Release Date : 2022-12-05
Machine Learning With Python Theory And Applications written by Gui-rong Liu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-05 with Computers categories.
Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces the basic concepts, fundamental theories, essential computational techniques, codes, and applications related to ML models. With a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can even develop innovative and more effective machine models for his/her problems. The book is written to achieve this goal.The useful reference text benefits professionals, academics, researchers, graduate and undergraduate students in AI, ML and neural networks.