The discovery of structural form
Carnegie Mellon University · Massachusetts Institute of Technology
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
- FWCI
- 32.67
- Percentile
- 100%
- References
- 81
Authors
2Topics & keywords
- Computer science
- Theoretical computer science
- Cluster analysis
- Variety (cybernetics)
- Probabilistic logic
- Hierarchical organization
- Artificial intelligence
- Adjacency list
- Quality Education