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Routes
Using concrete scientific methods, this work addresses practical and philosophical questions about how the mind and its content form in the brain. An eclectic range of mental phenomena including learning, language, and self-perception are addressed with an eye toward explaining them as manifestations of neural network processes. While this book will be of particular interest to students of many cognitive fields of study such as neuroscience, psychology, and neural networks, it is designed to be accessible for general readers, as it straightforwardly and creatively integrates many disciplines and discussions relating to mental processes. Highlighted are the neuronal properties and regularity that form the mental phenomena and serve their explanation.
Perception
The answer to why, in spite of all the effort, knowledge, and technological means, the human mind has not been explained is provided in this look at the brain-mind connection. This analysis argues that the transformation from physical processes in the brain to mental representations and conscious perception can be explained by accepted, easy-to-understand scientific data. Various mental phenomena are examined, including choice capabilities, time perception, sleep, and dreams.
Library Journal
Includes, beginning Sept. 15, 1954 (and on the 15th of each month, Sept.-May) a special section: School library journal, ISSN 0000-0035, (called Junior libraries, 1954-May 1961). Also issued separately.
Mind
Issues for 1896-1900 contain papers of the Aristotelian Society.
Library Journal
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Modern Multidisciplinary Applied Microbiology
Indexed and cross-referenced interdisciplinary contributions provide an integrated view, with reports on key research from the frontiers of applied microbiology, including topics in food, environmental, industrial, pharmaceutical, medical, bioinformatics and education sciences. Publisher.
EXPLORING LEGAL SAFEGUARDS FOR PERSONALITY RIGHTS IN THE ERA OF ARTIFICIAL INTELLIGENCE
Artificial Intelligence (AI) encompasses the ability of computers or robots to execute tasks that typically require human capabilities. Such tasks include speech recognition, language translation, decision-making, and visual perception. AI is categorized into narrow AI, artificial general intelligence (AGI), and artificial super intelligence (ASI). AGI aims to match human-level performance across all tasks, while ASI surpasses human intelligence in all areas. Currently, AI focuses on specific tasks, with AGI development largely undisclosed.
Mac OS X and iOS Internals
An in-depth look into Mac OS X and iOS kernels Powering Macs, iPhones, iPads and more, OS X and iOS are becoming ubiquitous. When it comes to documentation, however, much of them are shrouded in mystery. Cocoa and Carbon, the application frameworks, are neatly described, but system programmers find the rest lacking. This indispensable guide illuminates the darkest corners of those systems, starting with an architectural overview, then drilling all the way to the core. Provides you with a top down view of OS X and iOS Walks you through the phases of system startup—both Mac (EFi) and mobile (iBoot) Explains how processes, threads, virtual memory, and filesystems are maintained Covers the security architecture Reviews the internal Apis used by the system—BSD and Mach Dissects the kernel, XNU, into its sub components: Mach, the BSD Layer, and I/o kit, and explains each in detail Explains the inner workings of device drivers From architecture to implementation, this book is essential reading if you want to get serious about the internal workings of Mac OS X and iOS.
Processing
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