Fluid Concepts and Creative Analogies

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 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

  • Title: Fluid Concepts and Creative Analogies
  • Author: Douglas R. Hofstadter
  • ISBN: 9780465024759
  • Page: 412
  • Format: Paperback
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    1. In this book Douglas Hofstadter and his colleagues from the FARG / Fluid Analogies Research Group give away details of their findings on computer’s ability to make analogies, creativity, and what is called “fluid concepts”. There’s a couple of programs the “FARGonauts” developed over the years. The different chapters had been published before in science magazines but received an overhaul for this book. There are also newly written prefaces to each chapter and a very interesting epilo [...]

    2. Non è facile commentare un libro di cui sono il traduttore, e nel quale sono citato e ringraziato nella postfazioneIl libro è "di lavoro", nel senso che è formato da vari capitoli che raccontano i progetti portati avanti dal gruppo di ricerca sulle scienze cognitive guidato da Hofstadter. I lavori si basano sul cercare di vedere come un sistema possa riuscire a trovare delle analogie su ambienti molto specializzati: ad esempio, trovare l'elemento successivo di una serie di numeri, oppure risp [...]

    3. Well below expectations. This books has a couple of major problems:First, Hofstadter keeps describing the computer programs he was working on. "That book is 'required reading' for anyone who really wants to understand [the computer program] Copycat—definitely a worthwhile goal, in my book." pg. 301.These programs were meant to simulate human cognition. But Hofstadter skips a key step. Instead of discussing his model of human cognition, he keeps discussing his model of the program.Second, Hofst [...]

    4. One of the denser of Hofsteader's books. Ruminations on thought vs program. Not light reading but no more difficult that Godel Esher Bach. Took me a good while to finish but am very glad I did.

    5. How to build a fragment of something that does something quite a bit like actual thinking, at least about analogy puzzles.

    6. Ugh. Note that I started this book in 2006 and am still trying to get through it.Douglas Hofstadter is most famouse forGodel, Escher, and Bach and I haven't gotten through that one fully yet either. However, I am intrigued by his continued search for "I". He has dedicated his life to unraveling how we think and looked at it from the lens of various fields: physics, philosophy, biology, mathematics, and, in this novel, computer science. I appreciate Hofstadter because his breadth is tremendous. I [...]

    7. Today I officially cry UNCLE! I read and skimmed 273 of 491 pages. The subject is Artificial Intelligence. The author builds a series of computer programs to solve rigorously defined but not automatic-t-solve logic games. We get to play these games with pencil and paper but do not see the actual code. There is a lot of discussion of the problems other AI researchers have chosen and whether the solutions they have come up with constitute AI to any degree. Some chapters are, verbatim, papers which [...]

    8. Thought about giving this 3 stars, but because I find Hofstadter's writing so readable I bumped it up to 4. Several interesting projects are detailed and discussed in this collection, and I largely agree with Hofstadter's assessment about what constitutes real decision making in a program designed to carry out some "intelligent" task such as analogy making, but the projects and their underlying architectures are all quite similar and thus grow a bit boring to read about by the end. This does ser [...]

    9. A collection of papers authored by Hofstadter and the members of his Fluid Analogies Research Group, this book presents the results of many years work in cognitive science research.Also included are a couple papers pointedly criticizing some other approaches in the field, the main criticism being a failure to model human cognition in a realistic way.Hofstadter is always worth reading and this collection is no exception to the rule.

    10. This book examines in some detail an interesting architecture for systems for tackling some problems that might otherwise seem unapproachable.It goes into sufficient detail that a competent developer could probably reproduce the solutionsHowever, it is largely a collection of publish papers and hence is very repetitious to a degree that annoyed me.

    11. A long book, a month's read on the morning train after the Economist and a bridge between instantiating puzzles within microdomains and how we are creative. Exploring his programs reminds me of how we should stop, take stock and understand that simple questions, a child's questions, are keys to unlocking the insight of how we use analogy, metaphor and the new.

    12. In depth look at some of Professor Hofstadter's recent and very original research. There is also an essay raising some interesting points about the difficulty in assessing the quality of work in artificial intelligence. (Prof H is too diplomatic to say so, but he obviously questions the promise and usefulness of many standard fields of exploration).

    13. Very interesting book if you like to know about some of the structural aspects of artificial intelligence programs. Hofstadter works in domains which are very small, but interesting because of their playful nature.

    14. The focus on small hard problems in tiny domains is something I am growing more sympathetic too. Also, his indictment of symbolic cognitive science is a must read for people who do work in the field.

    15. The most focused and concrete of Hofstadter's books. Also somewhat dryer, but definitely with interesting contents. Particularly for those interested in novel approaches to analogical reasoning in AI.

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