Forecasting complexity
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Forecasting complexity is a measure of complexity put forward (under the original name of) by the physicist Peter Grassberger.[1][2][3]
It was later renamed "statistical complexity" by James P. Crutchfield and Karl Young.[4][5]
References
- ↑ Grassberger, P. (1986). "Toward a quantitative theory of self-generated complexity". International Journal of Theoretical Physics 25 (9): 907–938. doi:10.1007/bf00668821. Bibcode: 1986IJTP...25..907G.
- ↑ Grassberger, P. (2012). "Randomness, Information, and Complexity". arXiv:1208.3459 [physics].
- ↑ Funes, P.. "Complexity measures for complex systems and complex objects". http://pages.cs.brandeis.edu/~pablo/complex.maker.html. Retrieved 2012-08-04.
- ↑ Crutchfield, J.; Young, Karl (1989). "Inferring statistical complexity.". Physical Review Letters 63 (2): 105–108. doi:10.1103/PhysRevLett.63.105. PMID 10040781. Bibcode: 1989PhRvL..63..105C.
- ↑ Shalizi, C. R. (2006). "Methods and Techniques of Complex Systems Science: An Overview". arXiv:nlin/0307015.
Original source: https://en.wikipedia.org/wiki/Forecasting complexity.
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