Gödel, Escher, Bach: An Eternal Golden Braid

Douglas Hofstadter

Winner of the Pulitzer Prize A metaphorical fugue on minds and machines in the spirit of Lewis Carroll Douglas Hofstadter's book is concerned directly with the nature of "maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

ScienceScience · medium confidenceScience81 signalsLlm Classifier: Science -> ScienceOpen Library: Artificial intelligence -> Arts & CriticismOpen Library: music -> Arts & CriticismScience & DiscoveryTechnology, Computing & AIMental Health & Psychology
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Gödel40%
    • Escher40%
    • Bach40%
  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

    This suggestion did not meet the normal display threshold and is more likely to be wrong.

    The formal system that underlies mental activity transcends the system that supports it, so consciousness and human-level intelligence can emerge from formal processes underlying minds and machines.

    Model confidence 38%

  4. 04 Reading orientation

    55 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 45%.