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Can computers think? Can they use reason to develop their own concepts, solve complex problems, play games, understand our languages? This comprehensive survey of artificial intelligence ― the study of how computers can be made to act intelligently ― explores these and other fascinating questions. Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades. You'll find lucid, easy-to-read coverage of problem-solving methods, representation and models, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis and specific artificial-intelligence accomplishments. Related subjects are also included: predicate-calculus theorem proving, machine architecture, psychological simulation, automatic programming, novel software techniques, industrial automation and much more.
A supplementary section updates the original book with major research from the decade 1974-1984. Abundant illustrations, diagrams and photographs enhance the text, and challenging practice exercises at the end of each chapter test the student's grasp of each subject.The combination of introductory and advanced material makes Introduction to Artificial Intelligence ideal for both the layman and the student of mathematics and computer science. For anyone interested in the nature of thought, it will inspire visions of what computer technology might produce tomorrow.
- Sales Rank: #15967 in Books
- Published on: 1985-06-01
- Released on: 1985-06-01
- Original language: English
- Number of items: 1
- Dimensions: 8.50" h x 5.75" w x 1.00" l, 1.14 pounds
- Binding: Paperback
- 512 pages
Most helpful customer reviews
3 of 3 people found the following review helpful.
~ GREAT BOOK ON AI ROBOT INTELLIGENCE
By DIOMEDEXSZ
~ Great Book! Many interesting & practically applicable games, concepts, theorems, & formulas. Just needs a Robotics Laws update, it only shows 3, when now there are now more laws, look it up in Wikipedia: Laws of Robotics. Be aware the latest publication copyright of this book is 1985 & has only been updated slightly as it mentions in description.
7 of 8 people found the following review helpful.
Great casual read for the mathematician
By jash
Writing from a graduate student in pure mathematics point of view. Moreover, I am most interested in analysis with quite a bit interest in computability theory, logic, and finite state machine type stuff.
This book is a pretty casual read and is probably not for anyone wanting to ready themselves for AI research (as others have said). However, it is a really interested casual read that (thankfully) does get pretty mathematical. I find the exposition on the heavier math sides to be quite interesting. And, even though the book is definitely outdated, I would assume a lot of the theoretical ideas about AI still hold true for today. Regardless of whether or not uses statistics for AI now, there are a lot of really good ideas in this book I would assume are still important.
In short, I would probably recommend this book to anyone interested in ideas rather than applications in terms of AI. If you are a master at computability type stuff, this book's math exposition might be a little light, but the historical aspects and point of views written in this book probably make it worth it.
6 of 7 people found the following review helpful.
With each reading, there is something that I had not noticed before, which makes this a classic introduction.
By Tri D. Atran
A great introduction to Turing Machines and basics to other computational theories. Other books, speaking about Turing Machines, are either delves nothing about the technical details or is too mathematical at the start, which makes for bad substitutes for Turing's original writings. Granted there are not much on the German Enigma machines and their encoding and deciphering of messages. This being said about what may enhance the field of artificial intelligence since intelligence may be highly employed in the code breaking of Enigma, it is part of lost history and I doubt that anyone has any files on this aspect to describe something with some originality such as Alan Turing. Nevertheless, this book is both excellently approachable even if one has basic Biology or how computers' working parts represent non-human intelligence can be simulated.
I was able to understand most the material in the first couple of chapters upon first reading, but upon second reading, I was able to find this book very interesting because there were material that I thought that I knew upon first reading, the second time around reveals to me that I don't know them that well to have depth in learning from this highly deserved classic.
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