Intelligence Science

Leading the Age of Intelligence
Erscheinungsjahr 2021
ISBN: 978-0-323-85380-4
Verlag: William Andrew Publishing

Buch, Englisch, 632 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 970 g

Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. 

This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry.

Zielgruppe

Senior undergraduates and postgraduates in intelligence science, cognitive science, neuroinformatics and other courses, as well as researchers engaged in intelligence science, artificial intelligence, cognitive science, brain science,
neuroscience, psychology and other fields

Autoren/Hrsg.

Shi, Zhongzhi

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Kognitionspsychologie Intelligenz, Denken, Problemlösen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft

Inhaltsverzeichnis

1. Introduction2. Foundation of neurophysiology3. Neural Computing4. Mind model CAM5. Perceptual Intelligence6. Language cognition7. Learning8. Memory9. Thought10. Intellectual development and cognitive structure11. Emotion and affect12. Consciousness13. Brain machine integration14. Brain-like intelligence

Über Autor(innen)

Shi, Zhongzhi
Zhongzhi Shi is a Professor in the Institute of Computing Technology, at the Chinese Academy of Sciences, and a Fellow of the China Computer Federation. His research interests include intelligence science, artificial intelligence, multi-agent systems, and machine learning. He has published widely in the field, with 18 books and over 500 papers.