Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought

  • Authors:
  • Douglas R. Hofstadter

  • Affiliations:
  • -

  • Venue:
  • Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
  • Year:
  • 1996

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Abstract

From the Publisher:Since 1977, Douglas R. Hofstadter and his graduate students at Indiana University and the University of Michigan have been developing computer models of discovery, creation, and analogical thought. What has emerged is a sophisticated and unorthodox vision of the mind in which perception, at an abstract level, is the key: perception of situations, of patterns, of patterns among patterns, even perception of one's perceptions. Fluid Concepts and Creative Analogies conveys this bold vision to a broad public as well as to cognitive scientists. Two ideas pervade the research. One is that the key question to answer is "What is a concept?" This means understanding how concepts overlap and trigger one another, how their fluid boundaries come about, how they give rise to generalizations and analogies, and so on. The second idea is that mental activity is fundamentally parallel, with many tiny agents independently carrying out small "subcognitive" acts and collectively building up coherent mental structures. Such agents lie far above the neural level, yet far below the conscious level; the hypothetical level of the brain at which they reside thus constitutes a largely uncharted substrate for thought. With these intuitions as guides, Hofstadter and the members of the Fluid Analogies Research Group have developed computer models that operate in small but extraordinarily challenging domains: playful anagram and number puzzles, analogy puzzles involving letter strings or tabletop objects, and fanciful alphabetic styles. These subtle ideas are spelled out with verve, charm, and clarity by Hofstadter and his co-workers in a series of chapters alternating with prefaces; the latter tie the projects together and give insight into their evolution. Readers of earlier works by 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 el