Moravec Paradox: Fundamentals and Applications
Par šo e-grāmatu
In artificial intelligence and robotics, the Moravec paradox refers to the finding that, contrary to the usual assumptions, reasoning takes very little processing, yet sensorimotor and perceptual skills require vast amounts of computational resources. This insight was made by Moravec. In the 1980s, several individuals like Hans Moravec, Rodney Brooks, and Marvin Minsky were among those who first expressed the principle. Moravec stated in his article from 1988 that "it is relatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers," while he went on to say that "it is difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility."
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Moravec's Paradox
Chapter 2: Artificial Intelligence
Chapter 3: AI-complete
Chapter 4: Commonsense Reasoning
Chapter 5: Artificial General Intelligence
Chapter 6: Physical Symbol System
Chapter 7: Neats and Scruffies
Chapter 8: Philosophy of Artificial Intelligence
Chapter 9: Situated Approach (Artificial Intelligence)
Chapter 10: History of Artificial Intelligence
(II) Answering the public top questions about moravec paradox.
(III) Real world examples for the usage of moravec paradox in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of moravec paradox' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of moravec paradox.
