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Wiley-Scrivener
T. Saravanan, P. Preethi ...
Artificial General Intelligence: Principles And Practices
N/A
2026
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Publisher > Wiley-Scrivener
Author > T. Saravanan, P. Preethi ...
Title > Artificial General Intelligence: Principles And Practices
Issue > N/A
Year > 2026
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ISBN > 9781394422678
Pages > 656
Genre > Artificial-Intelligence-Ai Systems-Engineering
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-07
Release > 2026-09-10
Disks > 05 x 5 MB
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- - -- [ D E S C R I P T I O N ] -- - -
This comprehensive guide provides an extensive overview of the key
theories, methodologies, and applied frameworks that enable AGI systems to
exhibit aspects of human intelligence. As the role of artificial
intelligence grows in our everyday lives, so does the need for AI with
greater capabilities. Unlike narrow AI, confined to specific tasks,
artificial general intelligence seeks human-like adaptability, reasoning,
and learning across domains. Integrating cognitive, mathematical, and
computational concepts, it presents multidimensional solutions to create
more natural human-AI interactions. This book examines the theoretical
foundations, cognitive architectures, and practical methodologies shaping
artificial general intelligence. It highlights the significance of human-
like emotional intelligence in AI and its potential to create more natural,
empathetic, and intuitive human-AI interactions, using techniques such as
facial expression analysis, speech emotion recognition, and physiological
signal processing. From healthcare to customer service, affective AI is
being used to enhance user experiences by tailoring interactions to the
emotional states of individuals. The book also discusses the ethical
dilemmas posed by affective AI, such as emotional manipulation, bias in
emotion detection, and the impact of AI-driven emotional decisions on human
behavior. Balancing rigor with practical insight, the volume provides a
roadmap for researchers, practitioners, and policymakers to study
artificial general intelligences evolution and transformative potential.
Readers will find the volume: Discusses different applications of affective
artificial intelligence across various industries; Introduces the
fundamental concepts of reinforcement learning for different applications;
Presents the state-of-the-art of transfer learning analysis through
contributions from industry and academia. Audience Engineering research
scholars, students, IT professionals, network administrators, artificial
intelligence and deep learning experts, and government research agencies.
- - -- [ R E T A I L U R L ] -- - -
https://www.ebooks.com/en-us/book/347538296/artificial-general-
intelligence/t-saravanan/
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