Representing properties locally.

  title={Representing properties locally.},
  author={Karen Olseth Solomon and Lawrence W. Barsalou},
  journal={Cognitive psychology},
  volume={43 2},
Theories of knowledge such as feature lists, semantic networks, and localist neural nets typically use a single global symbol to represent a property that occurs in multiple concepts. Thus, a global symbol represents mane across HORSE, PONY, and LION. Alternatively, perceptual theories of knowledge, as well as distributed representational systems, assume that properties take different local forms in different concepts. Thus, different local forms of mane exist for HORSE, PONY, and LION, each… CONTINUE READING


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