Ebook Free AI: Its Nature and Future
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AI: Its Nature and Future
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About the Author
Margaret Boden is Research Professor of Cognitive Science at the University of Sussex, and one of the best known figures in the field of Artificial Intelligence. She has written extensively on the subject, most recently the two-volume work Mind as Machine: a history of cognitive science (OUP, 2006). She has lectured widely, to both specialist and general audiences across the world, and has appeared on many radio and TV programmes, in the UK and elsewhere. She was awarded an OBE in 2001 for 'services to cognitive science.'
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Product details
Hardcover: 156 pages
Publisher: Oxford University Press; 1 edition (July 1, 2016)
Language: English
ISBN-10: 0198777981
ISBN-13: 978-0198777984
Product Dimensions:
7.8 x 0.7 x 5.3 inches
Shipping Weight: 11.4 ounces (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
6 customer reviews
Amazon Best Sellers Rank:
#605,543 in Books (See Top 100 in Books)
AI is very much in the news these days, both concerning the changes it''s making in our culture (driverless cars), and its possible dangers (a super human intelligence). What's real, and what's just hype? How can I know? Read this book. Carefully researched and clearly written for an intelligent layperson, this short book is the definitive resource on this timely and important topic.
interesting
Excellent and up-to-date reading on the promise and shortcomings of Artificial Intelligence.
An interesting up-to-date information on Artificial Intelligence. I think it is needed.. The dearth of intelligence among current people promotes the development of an artificial substitute. Yes, miss Boden is more hesitant than I am, but most (intelligent)people will agree with me that we need help, from machines (and miss Boden is one of them). Bu the, the inventor of AI (not miss Lovelace)was driven. to suicide by some outdated laws. Where did tolerance go?
Don't be deceived by the short length and low price of this book: you'll need some sophistication to get the most from it.The book's main emphasis is on how the philosophy and practice of AI have influenced the philosophy of mind, and vice versa. This is set within a roughly historical narrative about the ebb and flow of various trends in AI, especially the symbol manipulation approach versus artificial neural nets. The final chapter also considers the "technological singularity," concerning which the author (MB) is skeptical; but she includes a concise laundry list of some ethical problems she believes that AI will present in reality and fairly soon.The prose is very clear, as is the book's structure. It is in fact an elegant book. But while it seems certain that MB intended the book for a general readership, her notion of general reader is a bit idealistic. She supposes you have a certain baseline facility with, and interest in, philosophy, biology and some other fields -- as if you were an Oxbridge or Ivy League liberal arts graduate from the mid-20th Century, who's been reading both Times Literary Supplement and Scientific American ever since.I read this to screen it as a possible introduction to AI for use in a college course about the social impact of AI and robots, directed to business and global studies students. I doubt it's suited for that purpose, though I expect it will help me prepare lectures and discussion problems. Of course, students in cognitive science should be able to handle this with ease. But many liberal arts majors and even technologists who've never read philosophy will find it a challenge, and may lose interest: MB is more focused on covering a lot of ground than on pausing to explain things in a hand-holding way. Given that philosophy of mind is something I've read about for probably less than 1 hour per year in my 60-something years on this planet, much of this book would have gone over my head too if I hadn't happened to have read a couple of chapters in a cognitive science textbook a day or so earlier. The dearth of illustrations is a significant problem, and why I deduct a half-star: for example, I pity the reader who's trying to visualize neural nets and backpropagation if this book is their first exposure to those topics.The book contains short-form endnotes and a proper, and helpful, list of references. The index is a little spotty: e.g. Hilary Putnam, who figures prominently toward the end of the text, is absent. (If you know who he was and something about his work, you'll do fine with this book.)MB will be the author of the same publisher's "Very Short Introduction" to AI, to be published in the second half of 2018. I hope it will be at a more basic level than this work, so that college students and a more truly general readership can get a lot out of it. In the meantime the present volume is the closest thing available to such a quick introductory survey of the field -- about 1/2 the price and 1/3 the length of the "AI for Dummies" set to be published in spring 2018. If you're tempted to try it, be advised: This is a very fine book. But for dummies it ain't.
"masterclass of a book Barbara Kiser, Nature Everything you need to know about Artificial Intelligence - a wonderful read. Jack Copeland, Director of the Turing Archive for the History of Computing". this is a totally incoherent editorial review. the book is almost as incoherent.
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