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.
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
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
Illustrationen
Approx. 140 illustrations
Maße
Höhe: 229 mm
Breite: 152 mm
Gewicht
ISBN-13
978-0-323-85380-4 (9780323853804)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
Autor*in
Professor, Institute of Computing Technology, Chinese Academy of Sciences, and Fellow, China Computer Federation
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
