Self-dissimilarity explained

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

Notes and References

1. Book: International Conference on Complex Systems. 2004. Y. Bar-Yam. Perseus books, in press. Self-dissimilarity as a high dimensional complexity measure. David H. . Wolpert. William. Macready.
2. Book: Wolpert, D.H. . Macready, W.G. . amp . Self-Dissimilarity: An Empirically Observable Measure of Complexity. Unifying Themes in Complex Systems. Y. Bar-Yam. Perseus books. 2000.