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.
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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
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Takes readers through advanced cognitive frameworks and the complex landscape of artificial psychology using Python
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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Produktdetaljer
ISBN
9780443302480
Publisert
2025-11-27
Utgiver
Elsevier Science Publishing Co Inc
Vekt
450 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
344