How to Create a Mind: The Secret of Human Thought RevealedPenguin, 27 août 2013 - 352 pages The bold futurist and bestselling author of The Singularity is Nearer explores the limitless potential of reverse-engineering the human brain Ray Kurzweil is arguably today’s most influential—and often controversial—futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization—reverse engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world’s problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating. Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil’s previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines. |
Table des matières
INTRODUCTION | 1 |
THOUGHT EXPERIMENTS ON THINKING | 25 |
THE BIOLOGICAL NEOCORTEX | 288 |
THE MIND AS COMPUTER | 298 |
OBJECTIONS | 313 |
| 321 | |
Autres éditions - Tout afficher
How to Create a Mind: The Secret of Human Thought Revealed Ray Kurzweil Aucun aperçu disponible - 2013 |
How to Create a Mind: The Secret of Human Thought Revealed Ray Kurzweil Aucun aperçu disponible - 2014 |
Expressions et termes fréquents
ability able accelerating returns actually algorithm Anders Sandberg answer auditory axon basic biological evolution bits called capable cells cerebellum chapter complex concept conceptual level connections conscious consider cortex cortical create decisions dendrites described Dileep George dream entities example exponential function genetic genome hemisphere HHMM hidden Markov models higher-level hippocampus human brain ideas input Jeopardy language law of accelerating layer learning LISP lower-level pattern Marvin Minsky mathematical memory methods mind natural-language neocortex neocortical pattern Neumann neural neural net neurons nonbiological optimal output parameters pattern recognition module pattern recognizer philosopher phonemes physical predictions problem quantum quantum computing Ray Kurzweil redundancy regions represent scanning sensory sequence signals simple simulate solution creatures spatial specific speech recognition structure synaptic strengths technique thalamus thinking thought experiments tion triggered trillion Turing machine Turing test understanding visual Watson words