PDF Ebook The Quest for Artificial Intelligence
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The Quest for Artificial Intelligence
PDF Ebook The Quest for Artificial Intelligence
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Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.
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Product details
Paperback: 580 pages
Publisher: Cambridge University Press; 1 edition (October 30, 2009)
Language: English
ISBN-10: 0521122937
ISBN-13: 978-0521122931
Product Dimensions:
6.1 x 1.1 x 9.2 inches
Shipping Weight: 1.6 pounds (View shipping rates and policies)
Average Customer Review:
4.0 out of 5 stars
12 customer reviews
Amazon Best Sellers Rank:
#298,343 in Books (See Top 100 in Books)
After reading Russell & Norvig's amazing tome, this is a great high level refresher of the concepts covered there.For an aspiring software engineer interested in developing algorithms that simulate the steps of a thought process, this book helps one understand:A) what is currently possible, what is not possible & what is nearly possible :) ;B) what approaches have hit dead ends & what alternative approaches superseded them;C) what subcategories of AI research exist, & how they can be integratedD) what areas of AI research are being actively investigated today and show promise of further advances.E) how we stand upon the shoulders of giants [some amazing programmatic investigations took place before most script kiddies and raving transhumanists were even conceived].In a way this last point is slightly melancholic - since the failure of the Japanese 5th Generation Computer Systems project (FGCS) in the 1980s, programming largely consists of re-inventing information systems ad nauseum. And yet cognitive science hints that the human brain is Turing Equivalent - unfortunately, the demand for immediate ROI stymies the effort to automate more tasks. This book is a potent reminder that programmers should strive to understand how to code outside this box.A recommended read.
There is a great deal of good material here. I wonder if the general problem of producing a history of AI would not have been better decomposed into a set of mini-histories each concerned with a particular topic and occupying a single chapter. For example, NLP, machine vision, robotics, knowledge representation, vagaries of public/private financing, major commercial deployments, etc. each could have been addressed in a single chapter. In this book, individual topics pop up again and again in interleaved fashion as the author's single timeline unfolds. This may be a bit disconcerting for readers not already well versed in the field. Other advantages of a modular approach to the history of AI rather than a simple sequential approach are ease of updating the text for future editions and the ability of subject matter experts to quickly find and provide constructive feedback in their areas of expertise.A minor irritation was the use of URLs in body text rather than confining them to end notes. Most authors would like their books to be timeless; the use of highly fragile URLs in body text seems to contradict this goal.I suspect that this is the best history of AI we have so far. I recommend this book to anyone interested in the field.
It is wise for practitioners in a field to know its history. Nils Nilsson wrote the first textbook on AI (artificial intelligence) I ever read, more than 40 years ago. "The Quest for Artificial Intelligence" is as comprehensive and readable a history of AI as I have encountered, covering the fields it developed out of through the collection of fields it has become today.Nilsson is a part of that history, having made contributions to heuristic search, planning, and other areas of AI. He gives his own work fair coverage in the panorama of issues, problems, and large scale questions that have shaped AI since its inception."The Quest for Artificial Intelligence" compares favorably with Margaret Boden's massive, two volume history of cognitive science (AI being one of the cognitive sciences) "Mind As Machine." Nilsson's book is the one to read if you want a detailed understanding of what artificial intelligence is and has been, with enough technical detail to satisfy a student of AI while remaining readable and interesting to the educated layman.If you have an AI library of six or more books, this should be one of them.
Unless we make contact with aliens from another galaxy or figure out how to power electrical grids with dark energy, I think by 2050 we'll look back on the first half of the century and realize that AI was humanity's most significant technological advancement.Nilsson's book is a thorough survey of many facets of AI with an engaging blend of human stories and technical detail that will satisfy most readers, with hundreds of references that will keep more curious readers busy for years.
A must have, A must read for anyone that really wants to understand the origins and current state, and current promise of Artificial Intelligence. As usual Nils does a good job here.
Too bad it missed the most advanced success in recent history. IBM's Watson was created past the copyright of the book.
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