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
editReferences
edit- ^ Wolpert, David H.; Macready, William (2004). "Self-dissimilarity as a high dimensional complexity measure". In Y. Bar-Yam (ed.). International Conference on Complex Systems (PDF). Perseus books, in press.
- ^ Wolpert, D.H. & Macready, W.G. (2000). "Self-Dissimilarity: An Empirically Observable Measure of Complexity". In Y. Bar-Yam (ed.). Unifying Themes in Complex Systems (PDF). Perseus books.
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