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Forecasting complexity

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From Wikipedia, the free encyclopedia

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

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  1. ↑ Grassberger, P. (1986). "Toward a quantitative theory of self-generated complexity". International Journal of Theoretical Physics. 25 (9): 907–938. Bibcode:1986IJTP...25..907G. doi:10.1007/bf00668821. S2CID 16952432.
  2. ↑ Grassberger, P. (2012). "Randomness, Information, and Complexity". arXiv:1208.3459 [physics].
  3. ↑ Funes, P. "Complexity measures for complex systems and complex objects". Retrieved 2012-08-04.
  4. ↑ Crutchfield, J.; Young, Karl (1989). "Inferring statistical complexity". Physical Review Letters. 63 (2): 105–108. Bibcode:1989PhRvL..63..105C. doi:10.1103/PhysRevLett.63.105. PMID 10040781.
  5. ↑ Shalizi, C. R. (2006). "Methods and Techniques of Complex Systems Science: An Overview". arXiv:nlin/0307015.


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