Название: Intelligence Science: Leading the Age of Intelligence
Автор: Zhongzhi Shi
Издательство: Elsevier
Год: 2021
Страниц: 617
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB

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.

Artificial Intelligence research uses artificial methods and technology to imitate, extend, and expand human intelligence and to realize machine intelligence. Intelligence science should not only carry out functional simulation but also study and explore new concepts, theories, and methods of intelligence. Intelligence research should not only use reasoning, top-down, but also learning, from the bottom to the top. Intelligence science studies the intelligent properties and behaviors of open systems by using the method of comprehensive integration.

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

Key Features:

Presents a complex, interdisciplinary area in an accessible way, including the latest trends and developments
Brings together disciplines such as neuroscience, cognitive science and artificial intelligence
Gives the latest methods and theories in the development of new intelligent technologies
Reflects upon the most important achievements in the study of natural and artificial intelligence
Contextualizes intelligence research within the history and progress of twenty-first century science

Readership:

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

Contents: