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首页> 外文期刊>Biological Theory: integrating development, evolution & cognition >Ecosystem Complexity Through the Lens of Logical Depth; Capturing Ecosystem Individuality
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Ecosystem Complexity Through the Lens of Logical Depth; Capturing Ecosystem Individuality

机译：从逻辑深度的角度看生态系统的复杂性;捕捉生态系统个性

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In this article, I will discuss possible differences between ecosystems and organisms on the basis of their intrinsic complexity. As the concept of complexity still remains highly debated, I propose here a practical and original way to measure the complexity of an ecosystem or an organism. For this purpose, I suggest using the concept of logical depth (LD) in a specific manner, in order to take into account the difficulty as well as the time needed to generate the studied object. I illustrate this method with fully controlled Daisyworld simulations (i.e., simulations based on the Gaia hypothesis) that have often been proposed to mimic living systems. The method consists of the following sequential stages: (1) identification of the shortest program able to numerically model the studied system (also called the Kol-mogorov-Solomonoff complexity); (2) running the program, once if there are no stochastic components in the system, several times if stochastic components are there; and (3) computing the time needed to generate the system with LD complexity. This measure is supposed to estimate the system complexity. It appears in this study that LD estimations fit well with the intuition we have of complex systems, with higher complexities being found formore realistic Daisyworlds. With such a method of capturing the time needed to build a system, we expect to detect in future studies any quantified differences between complex ecosystems and organisms.
机译：在本文中，我将基于其内在的复杂性讨论生态系统和生物之间的可能差异。由于关于复杂性的概念仍然存在争议，因此我在这里提出一种实用且新颖的方法来衡量生态系统或生物的复杂性。为此，我建议以特定方式使用逻辑深度（LD）的概念，以考虑生成研究对象的难度和所需的时间。我通过经常被提议用来模拟生命系统的完全受控的Daisyworld模拟（即基于Gaia假设的模拟）来说明这种方法。该方法包括以下连续阶段：（1）确定能够对所研究系统进行数值建模的最短程序（也称为Kol-mogorov-Solomonoff复杂度）; （2）运行程序，如果系统中没有随机组件，则运行一次，如果有随机组件，则运行几次; （3）计算产生具有LD复杂度的系统所需的时间。该措施应该用来估计系统的复杂性。在这项研究中，似乎LD估计与我们对复杂系统的直觉非常吻合，对于更现实的Daisyworld，发现更高的复杂性。通过这种捕获系统构建时间的方法，我们希望在未来的研究中检测出复杂生态系统和生物之间的任何量化差异。

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