“It is difficult to make predictions, especially about the future,” goes the proverb. A study of the dynamics of chaotic systems in the context of information theory adds a twist to this saying.
References
Motter, A. E. & Campbell, D. K. Phys. Today 66(5), 27–33 (2013).
James, R. G., Burke, K. & Crutchfield, J. P. Phys. Lett. A http://dx.doi.org/10.1016/j.physleta.2014.05.014 (2014).
Binder, P.-M. & Wissman, B. D. Chaos 20, 013106 (2010).
Lorenz, E. N. The Essence of Chaos (Univ. Washington Press, 1995).
Morse, M. & Hedlund, G. A. Am. J. Math. 60, 815–866 (1938).
Sklar, L. Physics and Chance (Cambridge Univ. Press, 1995).
Hoover, W. G. Time Reversibility, Computer Simulation, and Chaos (World Scientific, 1999).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Binder, PM., Pipes, R. How chaos forgets and remembers. Nature 510, 343–344 (2014). https://doi.org/10.1038/510343a
Published:
Issue Date:
DOI: https://doi.org/10.1038/510343a
- Springer Nature Limited
This article is cited by
-
Intuitionist Physics
Foundations of Physics (2020)