Introduction to intricate artificial psychology with Python edited by Peter Watson, Hojjatollah Farahani, Timea Bezdan

Format:

Book

Contributor:

Watson, Peter, editor.

Farahani, Hojjatollah, editor.

Bezdan, Timea, editor.

Language:

English

Subjects (All):

Artificial intelligence.

Cognitive psychology.

Python (Computer program language).

artificial intelligence.

Physical Description:

1 online resource

Place of Publication:

Amsterdam Academic Press 2025

Summary:

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

Credits:

Includes bibliographical references and index

Notes:

Description based on CIP data; resource not viewed

Other Format:

Print version:

ISBN:

0443302499

9780443302497

OCLC:

1545083445

Publisher Number:

CIPO000288337

Access Restriction:

Restricted for use by site license