Readers of earlier works by Douglas Hofstadter will find this book a natural extension of his style and his ideas about creativity and analogy; in addition, psychologists, philosophers, and artificial-intelligence researchers will find in this elaborate web of ingenious ideas a deep and challenging new view of mind.
Fluid Concepts And Creative Analogies
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Douglas Hofstadter, best known for his masterpiece Godel, Escher, Bach: An Eternal Golden Braid, tackles the subject of artificial intelligence and machine learning in his thought-provoking work Fluid Concepts and Creative Analogies, written in conjunction with the Fluid Analogies Research Group at the University of Michigan. Driven to discover whether computers can be made to "think" like humans, Hofstadter and his colleagues created a variety of computer programs that extrapolate sequences, apply pattern-matching strategies, make analogies, and even act "creative." As always, Hofstadter's work requires devotion on the part of the reader, but rewards him with fascinating insights into the nature of both human and machine intelligence.
About the Author
<B>Douglas R. Hofstadter</B> is College Professor of Cognitive Science and Computer Science at Indiana University, Bloomington, Indiana. His previous books are the Pulitzer Prizewinning<I>Gödel, Escher, Bach</I>;<I>Metamagical Themas</I>,<I>The Mind’s I</I>,<I>Fluid Concepts and Creative Analogies</I>,<I>Le Ton Beau de Marot</I>, and<I>Eugene Onegin</I>.
Customer Reviews
Most helpful customer reviews
1 of 1 people found the following review helpful
Format:Paperback
Many books by D. Hofstadter are at the top standings of my personal parade, but in reading this book I found myself very likely too distant from my usual interests and preferred styles. The initial part is very interesting, but when the author carries on detailed descriptions about programs' features in conversational shape, I have been quickly bored, and I have given up attentive reading turning to an eagle eye approach. I would have been by far more comfortable with a more formal explanation, because, once I make the effort to follow the thourough description of what and how a program does, it is more convenient to study its algorithms.
So, the book is surely very pleasing for people professionally involved in semantics, but I am not confident in its general interest.
So, the book is surely very pleasing for people professionally involved in semantics, but I am not confident in its general interest.
1 of 1 people found the following review helpful
By C. Hulshof
Format:Paperback
Douglas Hofstadter is best known for his seminal work 'Godel, Escher, Bach' (1981), but not much was known about the work he carried out at the University of Indiana. This work collects a number of research papers from the 80s, thus offering a glimpse into the continuation of the work that was carried out with the help of the 'fluid concepts'-group. Hofstadter writes well, which means that the accounts of the projects that were undertaken are exciting, thought-provoking, and intruiging. I'm not entirely happy about the theoretical background to some of the work, maybe Hofstadter tries too deliberately to maintain things at a simple level. Still, if you're at all interested in the state of the art in AI research, this is a book you may not want to miss.
By Tim Josling
Format:Paperback
This book is, as others have commented, different from DH's other more entertaining books.
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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Go to Amazon.com to see all 17 reviews
4.3 out of 5 stars
Most recent customer reviews
5.0 out of 5 stars
Novel approaches to artificial intelligence
This book has received some poor reviews and been unfairly compared to Hofstader's previous book, Goedel, Escher, Bach. Read more
Published on Nov 26 2001 by David R. Maass
5.0 out of 5 stars
Artificial Intelligence, Redefined
Where does meaning enter the picture in artificial intelligence? How can we say that a machine possesses understanding? Where, and how, does such understanding happen? Read more
Published on Oct 3 2000 by A. Linhares
2.0 out of 5 stars
Disappointed
I read G.E.&B. and had very high hopes for this book. I read a review of this book where it talked about the work he and his group did looking at analogies and I thought wow,... Read more
Published on Sep 26 2000 by Chris Troise
5.0 out of 5 stars
A Subdued Hoftadter, But Not a Bad Hofstadter
For those who are familiar with Hofstadter's style in Godel Escher Bach, as well as Matamagical Themas, this might be a shock. Read more
Published on July 22 1999
1.0 out of 5 stars
Godel, Escher, Bach it's not.
Having really liked Godel, Escher, Bach, I bought this book. I'm amazed I actually read the whole thing. Read more
Published on July 5 1997
5.0 out of 5 stars
"Analogies" - Bucks the status quo in the field of AI !
For a number of years now, I've followed the works of Douglas Hofstadter. I was instantly hooked
when I first read his column Metamagical Themas, which ran in Scientific... Read more
when I first read his column Metamagical Themas, which ran in Scientific... Read more
Published on Jan 6 1997
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