Introduction to Intricate Artificial Psychology with Python
eBook - ePub

Introduction to Intricate Artificial Psychology with Python

  1. 326 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Intricate Artificial Psychology with Python

About this book

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. - Examines how to utilize and analyze predictive models and psychological graphs - Illustrates how to apply machine learning and deep learning techniques in neuroimaging - Includes specific code examples in Python

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Information

Publisher
Academic Press
Year
2025
eBook ISBN
9780443302497
Topic
Psicología
Subtopic
Psicología experimental

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Dedication
  7. List of contributors
  8. Preface
  9. Acknowledgments
  10. Chapter 1 Introduction to intricate artificial psychology
  11. Chapter 2 Intricate mind: perception, cognition, and emotion are integrated in a new paradigm for a cognitive model
  12. Chapter 3 Toward intricate thinking
  13. Chapter 4 Prediction in intricate artificial psychology
  14. Chapter 5 Detecting implicit bias using fuzzy cognitive maps
  15. Chapter 6 Forecasting in complex artificial psychology
  16. Chapter 7 Explaining neural networks in natural language
  17. Chapter 8 Complex network analysis
  18. Chapter 9 Network approach in psychology
  19. Chapter 10 Deep learning techniques in neuroimaging
  20. Chapter 11 Machine learning techniques in neuroimaging
  21. Chapter 12 Becoming a PsychoPythonista
  22. Index

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Yes, you can access Introduction to Intricate Artificial Psychology with Python by Peter Watson,Hojjatollah Farahani,Timea Bezdan in PDF and/or ePUB format, as well as other popular books in Psicología & Psicología experimental. We have over one million books available in our catalogue for you to explore.