How to Grow a Mind: Statistics, Structure, and Abstraction

  title={How to Grow a Mind: Statistics, Structure, and Abstraction},
  author={Joshua B. Tenenbaum and Charles Kemp and Thomas L. Griffiths and Noah D. Goodman},
  pages={1279 - 1285}
In coming to understand the world—in learning concepts, acquiring language, and grasping causal relations—our minds make inferences that appear to go far beyond the data available. How do we do it? This review describes recent approaches to reverse-engineering human learning and cognitive development and, in parallel, engineering more humanlike machine learning systems. Computational models that perform probabilistic inference over hierarchies of flexibly structured representations can address… 
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