Artificial Intelligence: A Guide for Thinking Humans

Author:   Melanie Mitchell
Publisher:   Penguin Books Ltd
ISBN:  

9780241404829


Pages:   448
Publication Date:   15 October 2019
Format:   Hardback
Availability:   In stock   Availability explained
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Artificial Intelligence: A Guide for Thinking Humans


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Overview

No recent scientific enterprise has been so alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. How intelligent are the best of today's AI programs? To what extent can we entrust them with decisions that affect our lives? How human-like do we expect them to become, and how soon do we need to worry about them surpassing us in most, if not all, human endeavours? From leading AI researcher and award-winning author Melanie Mitchell comes a knowledgeable and captivating account of modern-day artificial intelligence. Flavoured with personal stories and a twist of humor, Artificial Intelligence illuminates the workings of machines that mimic human learning, perception, language, creativity and common sense. Weaving together advances in AI with cognitive science and philosophy, Mitchell probes the extent to which today's 'smart' machines can actually think or understand, and whether AI requires such elusive human qualities in order to be reliable, trustworthy and beneficial. Artificial Intelligence- A Guide for Thinking Humans provides readers with an accessible, entertaining, and clear-eyed view of the AI landscape, what the field has actually accomplished, how much further it has to go, and what it means for all of our futures.

Full Product Details

Author:   Melanie Mitchell
Publisher:   Penguin Books Ltd
Imprint:   Pelican
Dimensions:   Width: 14.40cm , Height: 4.00cm , Length: 22.20cm
Weight:   0.558kg
ISBN:  

9780241404829


ISBN 10:   0241404827
Pages:   448
Publication Date:   15 October 2019
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

Melanie Mitchell deftly provides the reader with a keen, clear-sighted account of the history of AI and neural networks. A wonderfully informative book -- John Allen Paulos, author of Innumeracy Mitchell cuts through the hype that the field of A.I. is often prone to and lays out what it does well, where it fails, and how it might do better -- George Musser, author of Spooky Action at a Distance A must read for anyone interested in the emerging revolution of AI, machine learning and big data. Mitchell lays bare the hyperbole and misconceptions that are being propagated in the media. This book can be, and should be, read by the proverbial man or woman-on-the-street, the Silicon Valley guru, members of Congress, or a student of the humanities, as well as by professional scientists and engineers. They will all profit enormously from it -- Geoffrey West, author of Scale Computers are capable of feats of astonishing intelligence, while at the same time lacking any semblance of common sense. Melanie Mitchell takes us through an enlightening tour of how artificial intelligence currently works, and how it falls short of true human understanding -- Sean Carroll, author of The Big Picture Melanie Mitchell writes about AI with a warm, friendly voice and an unpretentious brilliance that no machine could hope to match... for now -- Steven Strogatz, author of The Joy of X If you think you understand AI and all of the related issues, you don't. By the time you finish this exceptionally lucid and riveting book you will breathe more easily and wisely -- Michael Gazzaniga, author of The Consciousness Instinct


Author Information

Melanie Mitchell is a professor of Computer Science at Portland State University and External Professor at the Santa Fe Institute. She is the author of An Introduction to Genetic Algorithms, a widely known introductory book published by MIT Press in 1996. She is also author of Complexity- A Guided Tour (Oxford University Press, 2009), which won the 2010 Phi Beta Kappa Science Book Award.

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