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Characteristics and emergent attributes of system-of-systems' simulations

机译:系统仿真的特征和紧急属性

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摘要

This paper explores several notional system-of-systems simulations to determine common statistical features which may indicate emergent behaviours within the data fields. Several statistical changes within data fields are determined as well as desirable attributes for simulation metrics. It is found that emergent behaviours can be identified in these large simulations as local non-linearities, discontinuities and in some cases regions of locally high variance;and the ideal metric attributes should be divergent and remove impacts of transient time.
机译:本文探讨了几种概念上的系统系统仿真,以确定可能指示数据字段内突发行为的常见统计特征。确定数据字段内的一些统计变化以及模拟度量的所需属性。发现在这些大型仿真中可以将紧急行为识别为局部非线性,不连续性,在某些情况下还可以是局部高方差区域;理想的度量属性应该是发散的,并消除瞬态时间的影响。

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