Introduction to Intricate Artificial Psychology with Python

Watson, Peter (EDT)/ Farahani, Hojjatollah (EDT)/ Bezdan, Timea (EDT)

Academic Press Inc（2025/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 300 p.
• 言語 ENG
• 商品コード 9780443302480
• DDC分類 153

Full Description

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.

Contents

1. Introduction to intricate artificial psychology
2. Intricate mind: perception, cognition, and emotion are integrated in a new paradigm for a cognitive model
3. Toward intricate thinking
4. Prediction in intricate artificial psychology
5. Detecting implicit bias using fuzzy cognitive maps
6. Forecasting in complex artificial psychology
7. Explaining neural networks in natural language
8. Complex network analysis
9. Network approach in psychology
10. Deep learning techniques in neuroimaging
11. Machine learning techniques in neuroimaging
12. Becoming a PsychoPythonista