MEASURING COMPLEXITY USING INFORMATION FLUCTUATION

被引：54
|
作者：
BATES, JE
SHEPARD, HK
机构：
[1] Department of Physics, University of New Hampshire, Durham
来源：
PHYSICS LETTERS A | 1993年 / 172卷 / 06期
关键词：
D O I：
10.1016/0375-9601(93)90232-O
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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.
引用
收藏
页码：416 / 425
页数：10
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