摘要翻译：
本文介绍了一个用系统级计算方法来理解选择效应的模型。首先将介绍一些对理解构建模型的动机至关重要的概念和原则。接下来是对模型中使用的参数、测量和图形表示的描述。然后介绍并描述了该模型的四种可能结果。此外，还描述了相对适应度与选择的关系。最后，讨论了从该模型中获得的后果和潜在经验教训。
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英文标题：
《Hierarchies of Biocomplexity: modeling lifes energetic complexity》
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作者：
Bradly Alicea
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最新提交年份：
2009
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Populations and Evolution        种群与进化
分类描述：Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学；时空和流行病学模型；动态物种形成；协同进化；生物多样性；食物网；老龄化；分子进化和系统发育；定向进化；生命起源
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  In this paper, a model for understanding the effects of selection using systems- level computational approaches is introduced. A number of concepts and principles essential for understanding the motivation for constructing the model will be introduced first. This will be followed by a description of parameters, measurements, and graphical representations used in the model. Four possible outcomes for this model are then introduced and described. In addition, the relationship of relative fitness to selection is described. Finally, the consequences and potential lessons learned from the model are discussed.
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PDF链接：
https://arxiv.org/pdf/0810.4547