Self-dissimilarity

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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

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%20(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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