Self-Organizing Spatio-temporal Pattern Formation in Two-Dimensional Daisyworld
Self-Organizing Spatio-temporal Pattern Formation in Two-Dimensional Daisyworld
复制标题
二维雏菊世界中的自组织时空模式形成
DOI：
10.1007/978-3-642-28583-7_7
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
R. McKay
中科院分区：
文献类型：
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作者：
Dharani Punithan;R. McKay
沃森和洛夫洛克的雏菊世界模型b[1]是为了证明一个世界的生物群是如何稳定它的，将它驱动到一个有利于生物群生存的温度状态。随后的研究集中在雏菊在各个领域的行为上。这项研究着眼于在不同参数设置下2D雏菊世界中出现的涌现模式，证明可以观察到广泛的模式。从大量的测试参数设置中选择，我们提出了复杂模式，图灵结构，循环模式，随机模式和均匀分散模式的出现，对应于不同类型的可能世界。从一个简单抽象的模型中出现如此复杂的行为，有助于阐明我们在现实世界的生物系统中观察到的复杂的马赛克模式。
Watson and Lovelock’s daisyworld model [1] was devised to demonstrate how the biota of a world could stabilise it, driving it to a temperature regime that favoured survival of the biota. The subsequent studies have focused on the behaviour of daisyworld in various fields. This study looks at the emergent patterns that arise in 2D daisyworlds at different parameter settings, demonstrating that a wide range of patterns can be observed. Selecting from an immense range of tested parameter settings, we present the emergence of complex patterns, Turing-like structures, cyclic patterns, random patterns and uniform dispersed patterns, corresponding to different kinds of possible worlds. The emergence of such complex behaviours from a simple, abstract model serve to illuminate the complex mosaic of patterns that we observe in real-world biosystems.