The Signal Importance of Noise

被引:15
|
作者
Macy, Michael [1 ]
Tsvetkova, Milena [2 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
[2] Cornell Univ, Field Sociol, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
agent-based models; analytical sociology; complex systems; computer simulation; determinism; stochastic models; game theory; random error; LOCAL CONVERGENCE; EMPIRICAL-TEST; COOPERATION; DYNAMICS; EXPLORATION; EVOLUTION; EXPLOITATION; SEGREGATION; CULTURE; MODEL;
D O I
10.1177/0049124113508093
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
Noise is widely regarded as a residual categorythe unexplained variance in a linear model or the random disturbance of a predictable pattern. Accordingly, formal models often impose the simplifying assumption that the world is noise-free and social dynamics are deterministic. Where noise is assigned causal importance, it is often assumed to be a source of inefficiency, unpredictability, or heterogeneity. We review recent sociological studies that are noteworthy for demonstrating the theoretical importance of noise for understanding the dynamics of a complex system. Contrary to widely held assumptions, these studies identify conditions in which noise can increase efficiency and predictability and reduce diversity. We conclude with a methodological warning that deterministic assumptions are not an innocent simplification.
引用
收藏
页码:306 / 328
页数:23
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