Complexity, parallel computation and statistical physics

被引:8
|
作者
Machta, J. [1 ]
机构
[1] Univ Massachusetts, Dept Phys, Amherst, MA 01003 USA
关键词
parallel computation; statistical physics;
D O I
10.1002/cplx.20125
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The intuition that a long history is required for the emergence of complexity in natural systems is formalized using the notion of depth. The depth of a system is defined in terms of the number of parallel computational steps needed to simulate it. Depth provides an objective, irreducible measure of history that is applicable to systems of the kind studied in statistical physics. It is argued that physical complexity cannot occur in the absence of substantial depth and that depth is a useful proxy for physical complexity. The ideas are illustrated for a variety of systems in statistical physics. (c) 2006 Wiley Periodicals, Inc.
引用
收藏
页码:46 / 64
页数:19
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