Challenges for complexity measures: A perspective from social dynamics and collective social computation

Challenges for complexity measures: A perspective from social dynamics and collective social computation
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DOI:
10.1063/1.3643063
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发表时间:
2011-09-01
期刊:
影响因子:
2.9
通讯作者:
Krakauer, David C.
Krakauer, David C.
中科院分区:
数学2区
文献类型:
--
作者:
Flack, Jessica C.;Krakauer, David C.

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我们回顾了一个经验为基础的方法来研究集体财产的出现,从个人的相互作用,在社会动态。当可以从时间序列数据中提取个人决策规则、策略时,这些可以用于构建自适应社交回路。社会回路通过将个体层面的规则映射到集合体的统计特性,提供了对集体效应的紧凑描述。这定义了一种简单的社会计算形式。我们认为,复杂性的措施,需要有最好的捕捉在不同层次的分析,从个别规则的电路人口统计数据的性能。使用生物和社会系统的属性和结构来指导复杂性度量的发展的一个明显好处是,它更有可能产生可应用于数据的度量。原则性但务实的措施将允许在微观,中观和宏观尺度上对适应性特征之间的关系进行严格的调查,这是进化理论的长期目标。第二个好处是,基于经验的复杂性度量将有助于对不同社会系统的策略、回路和总体属性进行定量比较。(C)2011年美国物理学会。[doi:10.1063/1.3643063]
We review an empirically grounded approach to studying the emergence of collective properties from individual interactions in social dynamics. When individual decision-making rules, strategies, can be extracted from the time-series data, these can be used to construct adaptive social circuits. Social circuits provide a compact description of collective effects by mapping rules at the individual level to statistical properties of aggregates. This defines a simple form of social computation. We consider the properties that complexity measures would need to have to best capture regularities at different level of analysis, from individual rules to circuits to population statistics. One obvious benefit of using the properties and structure of biological and social systems to guide the development of complexity measures is that it is more likely to produce measures that can be applied to data. Principled but pragmatic measures would allow for a rigorous investigation of the relationship between adaptive features at the micro, meso, and macro scales, a long standing goal of evolutionary theory. A second benefit is that empirically grounded complexity measures would facilitate quantitative comparisons of strategies, circuits, and aggregate properties across social systems. (C) 2011 American Institute of Physics. [doi: 10.1063/1.3643063]