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Fluid Concepts and Creative Analogies: Computer Models Of The Fundamental Mechanisms Of Thought Paperback – March 22, 1996
| Price | New from | Used from |
- Print length528 pages
- LanguageEnglish
- Publication dateMarch 22, 1996
- Dimensions7.5 x 1.2 x 9.75 inches
- ISBN-109780465024759
- ISBN-13978-0465024759
- Lexile measure1400L
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Product details
- ASIN : 0465024750
- Publisher : Basic Books; 1st edition (March 22, 1996)
- Language : English
- Paperback : 528 pages
- ISBN-10 : 9780465024759
- ISBN-13 : 978-0465024759
- Lexile measure : 1400L
- Item Weight : 2.04 pounds
- Dimensions : 7.5 x 1.2 x 9.75 inches
- Best Sellers Rank: #669,753 in Books (See Top 100 in Books)
- #1,076 in Consciousness & Thought Philosophy
- #2,009 in Cognitive Psychology (Books)
- #3,390 in Medical General Psychology
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About the authors

Douglas Richard Hofstadter (born February 15, 1945) is an American professor of cognitive science whose research focuses on the sense of "I", consciousness, analogy-making, artistic creation, literary translation, and discovery in mathematics and physics. He is best known for his book Gödel, Escher, Bach: An Eternal Golden Braid, first published in 1979. It won both the Pulitzer Prize for general non-fiction and a National Book Award (at that time called The American Book Award) for Science. His 2007 book I Am a Strange Loop won the Los Angeles Times Book Prize for Science and Technology.
Bio from Wikipedia, the free encyclopedia.

Gary McGraw is co-founder of the Berryville Institute of Machine Learning. He is a globally recognized authority on software security and the author of eight best selling books on this topic. His titles include Software Security, Exploiting Software, Building Secure Software, Java Security, Exploiting Online Games, and 6 other books; and he is editor of the Addison-Wesley Software Security series. Dr. McGraw has also written over 100 peer-reviewed scientific publications. Gary serves on the Advisory Boards of Maxmyinterest, NTrepid, Ravenwhite, and Secure Code Warrior. He has also served as a Board member of Cigital and Codiscope (acquired by Synopsys) and as Advisor to Black Duck (acquired by Synopsys), Dasient (acquired by Twitter), Fortify Software (acquired by HP), and Invotas (acquired by FireEye). Gary produced the monthly Silver Bullet Security Podcast for IEEE Security & Privacy magazine for thirteen years. His dual PhD is in Cognitive Science and Computer Science from Indiana University where he serves on the Dean’s Advisory Council for the School of Informatics, Computing, and Engineering.
https://garymcgraw.com
https://berryvilleiml.com/
@cigitalgem
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This book is really a collection of articles about different projects attempting to model the way people think. It's not about artificial intelligence the way most people think of it nowadays (pattern matching), but more about how people relate ideas to each other. You might think it would be outdated, but I get the sense that most AI researchers have not pursued this way of thinking, instead focusing on neural networks (machine learning).
The articles are collected with (some) hindsight and editing to prevent too much repetition. That said, it's still a bit repetitive in many places. However, that's forgivable because the ideas are so revolutionary that some repetition is desirable.
Hofstadter's ideas seem right on to me. If you want to learn about those ideas, this book is more accessible than Goedel, Escher, Bach, though if you get interested in Hofstadter you should definitely read GEB.
It's great fun reading the book and following the train of thoughts is enjoyable and simple enough ... at least for somebody with a basic understanding in maths and maybe some AI knowledge. So if you started to read Gödel, Escher, Bach: An Eternal Golden Braid but never finished it, this is a much easier and more pragmatic read than Hofstaedter's more generic book.
It is a serious attempt to discuss the real issues and difficulties with AI research. There is a lot of quite dry material and in places it is repetitive.
It provides terrific insight into the problem of imitating human thinking at a deep level, and I found it very rewarding. It was also very interesting to follow the threads of how he went about doing research, and what he thought of other AI research.
His views of various flavours of AI research were very instructive and inightful I thought.
In summary a good book, but this is not (high quality) brain candy like Godel Escher Bach etc.
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Most chapters correspond to a program him and his colleagues have written, but some chapters are essays exploring attitudes and approaches to AI. The chapters describing programs are interesting enough, but can be long winded and in the end the programs seem to be more an expression of his philosophy than a practical tool of intelligence - he admits this himself; stating his belief that AI research needs to focus more on the methods than the results at this stage.
Like GEB, this book has a unique ability to completely reshape your perceptions of the world. Chapter 4 - "High-level Perception, Representation, and Analogy: A Critique of Artificial-intelligence Methodology" was the crux of this book. If nothing else, then the book is worth buying for this chapter - it manages to summarise and explain the mind bending interactions between high and low level perception in the human mind with amazing clarity.
4 stars because Hofstadter's strengths lie in philosophy, wordplay and communication more than practical tool making. This book is an attempt to describe how the ideas of GEB can be turned into practical software, but instead its best sections are those focusing heavily on philosophy.
Very interesting theories and concepts, his explanations are on point!!!