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Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought (Penguin Press Science)
 
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Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought (Penguin Press Science) (Paperback)
by Douglas R. Hofstadter (Author), The Fluid Analogies Research Group (Author)
3.7 out of 5 stars  (3 customer reviews)

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Product details

  • Paperback: 528 pages
  • Publisher: Penguin Books Ltd; New Ed edition (4 Feb 1998)
  • Language English
  • ISBN-10: 0140258353
  • ISBN-13: 978-0140258356
  • Average Customer Review: 3.7 out of 5 stars  (3 customer reviews)
  • Amazon.co.uk Sales Rank: 901,316 in Books (See Bestsellers in Books)
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  • Other Editions: Hardcover  |  Paperback  |  All Editions

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Product Description

Synopsis
Hosftadter and his colleagues at The Fluid Analogies Research Group have developed computer models that help describe and explain human discovery, creation and analogical thought. The key issue of perception is investigated through the exploration of playful anagrams, number puzzles, word play and fanciful alphabetical styles, and the result is a survey of cognitive processes. This text presents the results.

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Customer Reviews

3 Reviews
5 star: 33%  (1)
4 star: 33%  (1)
3 star:    (0)
2 star: 33%  (1)
1 star:    (0)
 
 
 
 
 
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2 of 2 people found the following review helpful:
4.0 out of 5 stars Exciting, illuminating, but not for GEB fans, 5 Aug 1999
By A Customer
This is a book that does what it says on the tin, especially the subtitle about exploring fundamental mechanisms of thought. A strong movement in cognitive science is exploring how the understanding and use of metaphor is not just a rhetorical flourish to liven up poetry and prose but central to how we live in the physical world. Hofstadter and the FARG are major players in this movement. The book describes AI systems developed by the FARG over the past 15+ years that involve new memory and conceptual structures and use stochastic algorithms to reason by analogy. However it is a technical text, you will learn much about the work and the technical issues involved, but if you are seeking the rush of excitement at being exposed to exciting big ideas and new possibilities that a generation of neo-hippy computer scientists felt reading Godel, Escher Bach, and Metamagical Themas, you will be disappointed. The Hofstadter masterplan is present, and the ideas are still big and exciting, but the sad fact of doing science, that the details can be hard and complex to an untrained audience, is confronted here. This is a valuable book, but hard work for the non-specialist.
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2 of 2 people found the following review helpful: