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Artificial Intelligence: The Basics Paperback – 18 Aug 2011

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4.3 out of 5 stars 9 customer reviews

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Product details

  • Paperback: 192 pages
  • Publisher: Routledge; 1st Edition edition (18 Aug. 2011)
  • Language: English
  • ISBN-10: 0415564832
  • ISBN-13: 978-0415564830
  • Product Dimensions: 12.9 x 1.1 x 19.8 cm
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Bestsellers Rank: 37,828 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Review

'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' Nick Smith, Engineering and Technology Magazine November 2011

'This book is authoritatively and enthusiastically written by one of the leading experts in the field. It is academically rigorous but eminently readable ... This is a great book for those looking for a concise, up-to-date introduction to AI. ' - Dr. Patrick Hill, BCS - The Chartered Institute for IT, UK

About the Author

Kevin Warwick is Professor of Cybernetics at the University of Reading, UK, where he carries out research in artificial intelligence, control, robotics and biomedical engineering.


Customer Reviews

4.3 out of 5 stars
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A very readable book which gives a good, up to date overview of all things A.I. If you're looking for something very technical with example algorithms or hardware designs, then this is probably not for you. Kevin covers a wide range of techniques and some of the latest developments, which makes it an excellent introduction to the subject.
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Strikes a good balance between depth and readability and is suitable for those with little or no knowledge of AI. No detailed code. Includes history and recent developments in AI, together with some discussion on methods, approaches, and philosophy. Published Aug 2011. If it were written today, I imagine that there would be a bit more on autonomous cars.
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Haven't read the whole thing yet, but as a member of the general population as I am referred to in the book, I have to say it is very well written and gives a great overview of current and "classic" AI concepts and ideas.

I am not sure if it is supposed to be a bit funny at times, but I laughed out quite loudly at least a couple of times already.. maybe it is only because I am not a native English speaker but there are some clever wording and examples that make me laugh at least. That is a good thing. One very short example that made me laugh is how aliens that communicate over infrared pulses would see us, the human species, the description of it made me laugh.

Great work, and I would recommend this book to anyone interested in the subject, you do not need any prior understanding of the subject to learn from and enjoy this book.
If you have a basic understanding of English (as I do) and can read this review, you will also be able to understand the book.

Can't wait to finish it over the coming days.
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This is a very disappointing book. The majority of it could have been written 30 or 40 years ago and it fails to reflect on the fact that the 'traditional' approach to AI has had limited success. By traditional I mean that based on conventional von Neumann computer architecture and symbolic programming languages.

The successes of applications using traditional AI techniques are very important in their own right; for example, game playing, language translation, computer vision, speech interpretation and synthesis. It's just that no amount of progress using such techniques will ever emulate the general processing capability of the human brain. The huge disparity between the power (both electrical and computing) used by digital computers on the one hand and the brain on the other should have given a clue. The predictions made by Warwick and other strong AI advocates are entirely misguided and they seemed to have based their hopes on the relentless increase in computing power.

There is little excuse for this failure to highlight the problems of traditional AI; Hubert Dreyfus identified these problems back in 1992 as did Searle in 1980. Warwick fails to acknowledge this.

To develop a truly intelligent computer needs a completely new understanding of the working of the mind. The latter is becoming better understood - see for instance, On Intelligence by Jeff Hawkins which provides a tentative explanation of how the neocortex operates.
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Awesome read, makes a complex subject far more accessible. If you ever had the opportunity to see the author speak the book is written in the exact same style, filled with humorous anecdotes this book is not only fun to read but gives some insight into the entire field of AI
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