Self-Dissimilarity

From Handwiki

Self-dissimilarity is a measure of complexity defined in a series of papers by David Wolpert and William G. Macready.[1][2] The degrees of self-dissimilarity between the patterns of a system observed at various scales (e.g. the average matter density of a physical body for volumes at different orders of magnitude) constitute a complexity "signature" of that system.

See also

  • Diversity index
  • Index of dissimilarity
  • Jensen–Shannon divergence
  • Self-similarity
  • Similarity measure
  • Variance

References

  1. Wolpert, David H.; Macready, William (2004). "Self-dissimilarity as a high dimensional complexity measure". in Y. Bar-Yam. International Conference on Complex Systems. Perseus books, in press. http://ti.arc.nasa.gov/m/pub-archive/935h/0935 (Wolpert).pdf. 
  2. Wolpert, D.H.; Macready, W.G. (2000). "Self-Dissimilarity: An Empirically Observable Measure of Complexity". in Y. Bar-Yam. Unifying Themes in Complex Systems. Perseus books. http://ti.arc.nasa.gov/m/profile/dhw/papers/84.pdf. 




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Categories: [Information theory] [Complex systems theory] [Measures of complexity]


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