Measuring complexity using information fluctuation
Inhaltsverzeichnis
Referenz
Bates, J.E., Shepard, H.K.: Measuring complexity using information fluctuation. Phys. Lett. A 172(6), 416–425 (1993)
DOI
http://dx.doi.org/10.1016/0375-9601(93)90232-O
Abstract
A method for analyzing deterministic dynamical systems is presented. New measures of complexity are proposed, based on fluctuation in net information gain and its dependence on system size. These measures are applied to one-dimensional cellular automata and shown to be useful in selecting rules that support slow-moving gliders in quiescent backgrounds.
Extended Abstract
Bibtex
@article{BATES1993416,
title = "Measuring complexity using information fluctuation",
journal = "Physics Letters A",
volume = "172",
number = "6",
pages = "416 - 425",
year = "1993",
note = "",
issn = "0375-9601",
doi = "http://dx.doi.org/10.1016/0375-9601(93)90232-O",
url = "http://www.sciencedirect.com/science/article/pii/037596019390232O http://de.evo-art.org/index.php?title=Measuring_complexity_using_information_fluctuation ",
author = "John E. Bates and Harvey K. Shepard",
}
Used References
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