Interactions between species and environments from incomplete information
Interactions between species and environments from incomplete information
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DOI：
10.1016/j.biosystems.2012.12.003
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发表时间：
2013-03-01
期刊：
影响因子：
1.6
通讯作者：
Gunji, Yukio-Pegio
中科院分区：
文献类型：
--
作者：
Niizato, Takayuki;Gunji, Yukio-Pegio
在进化的适应过程中有两个相互矛盾的方面。首先，物种必须在给定的环境中以最佳方式增加自己的适应性。第二，物种必须保持其变异，以准备应对不断变化的环境。从严格意义上讲，这两个方面可能被认为是相互排斥的。如果物种达到最佳适应，那么次优物种的变异就会减少，反之亦然。为了解决这一难题，物种必须在最佳适应和稳健适应之间找到平衡。找到这些过程之间的平衡需要本地和全局完整的静态信息。然而，进程之间的平衡必须是动态的。在这项研究中，我们提出了一个模型，说明了动态协商之间的全球和本地的信息，使用格理论。这两个层次之间的动态协商导致高估了每个物种的适应性。在我们的模型中，对适应度的高估代表了适应度的多重性，这有时被讨论为外适应。我们发现，在我们的模型中的物种表现出幂律的寿命分布和1/f波动的适应过程。我们的模型允许最佳适应和鲁棒适应之间的平衡，没有任何任意的参数。(C)2012爱思唯尔爱尔兰有限公司保留所有权利。
There are two contradictory aspects of the adaptive process in evolution. The first is that species must optimally increase their own fitness in a given environment. The second is that species must maintain their variation to be ready to respond to changing environments. In a strict sense, these two aspects might consider to be mutually exclusive. If species are optimally adapted, then the variation in the species that is suboptimal decreases and vice versa. To resolve this dilemma, species must find a balance between optimal adaptation and robust adaptation. Finding the balance between these processes requires both the local and global complete, static information. However, the balance between the processes must be dynamic. In this study, we propose a model that illustrates dynamic negotiation between the global and local information using lattice theory. The dynamic negotiation between these two levels results in an overestimate of fitness for each species. The overestimation of fitness in our model represents the multiplicity of fitness which is sometimes discussed as the exaptation. We show that species in our model demonstrate the power law of the lifespan distribution and 1/f fluctuation for the adaptive process. Our model allows for a balance between optimal adaptation and robust adaptation without any arbitrary parameters. (C) 2012 Elsevier Ireland Ltd. All rights reserved.