The discovery of structural form

Carnegie Mellon University · Massachusetts Institute of Technology

PubMed
Indexed incrossrefpubmed

Abstract

Algorithms for finding structure in data have become increasingly important both as tools for scientific data analysis and as models of human learning, yet they suffer from a critical limitation. Scientists discover qualitatively new forms of structure in observed data: For instance, Linnaeus recognized the hierarchical organization of biological species, and Mendeleev recognized the periodic structure of the chemical elements. Analogous insights play a pivotal role in cognitive development: Children discover that object category labels can be organized into hierarchies, friendship networks are organized into cliques, and comparative relations (e.g., "bigger than" or "better than") respect a transitive order.…

Citation impact

684
total citations
FWCI
32.67
Percentile
100%
References
81
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Theoretical computer science
  • Cluster analysis
  • Variety (cybernetics)
  • Probabilistic logic
  • Hierarchical organization
  • Artificial intelligence
  • Adjacency list
UN Sustainable Development Goals
  • Quality Education
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