Introduction to Intricate Artificial Psychology with Python



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Éditeur :

Academic Press


Paru le : 2025-11-28



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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. - 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
Pages
300 pages
Collection
n.c
Parution
2025-11-28
Marque
Academic Press
EAN papier
9780443302480
EAN EPUB SANS DRM
9780443302497

Prix
162,46 €

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