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进化SETI:一种用于系统发育学、进化和SETI的数学工具。

Evo-SETI: A Mathematical Tool for Cladistics, Evolution, and SETI.

作者信息

Maccone Claudio

机构信息

International Academy of Astronautics (IAA) and IAA SETI Permanent Committee; IAA, 6 Rue Galilée, 75016 Paris, France.

Istituto Nazionale di Astrofisica (INAF), Via Martorelli 43, 10155 Torino (TO), Italy.

出版信息

Life (Basel). 2017 Apr 6;7(2):18. doi: 10.3390/life7020018.

DOI:10.3390/life7020018
PMID:28383497
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5492140/
Abstract

The discovery of new exoplanets makes us wonder each new exoplanet along its way to develop life as we know it on Earth. Our Evo-SETI Theory is a mathematical way to face this problem. We describe cladistics and evolution by virtue of a few statistical equations based on lognormal probability density functions (pdf) . We call -lognormal a lognormal pdf starting at instant (birth). Then, the lifetime of any living being becomes a suitable -lognormal . Next, our : each species created by evolution is a -lognormal whose peak lies on the number of living species. This exponential is the called "Geometric Brownian Motion" (GBM). Past mass extinctions were all-lows of this GBM. In addition, the Shannon Entropy (with a reversed sign) of each -lognormal is the measure of how evolved that species is, and we call it EvoEntropy. The "molecular clock" is re-interpreted as the EvoEntropy straight line in the time whenever the mean value is exactly the GBM exponential. We were also able to extend the Peak-Locus Theorem to any mean value other than the exponential. For example, we derive in this paper for the first time the EvoEntropy corresponding to the Markov-Korotayev (2007) "cubic" evolution: a curve of logarithmic increase.

摘要

新系外行星的发现让我们思考每一颗新系外行星在沿着其发展路径演化出如我们所知的地球上的生命的过程。我们的进化搜寻地外文明理论是一种解决这个问题的数学方法。我们借助基于对数正态概率密度函数(pdf)的一些统计方程来描述分支系统学和进化。我们将起始于某一时刻(诞生)的对数正态概率密度函数称为“负对数正态”。然后,任何生物的寿命都成为一个合适的“负对数正态”。接下来,我们的理论表明:进化所创造的每个物种都是一个“负对数正态”,其峰值位于现存物种数量上。这个指数就是所谓的“几何布朗运动”(GBM)。过去的大规模灭绝都是这种几何布朗运动的低谷。此外,每个“负对数正态”的香农熵(取相反符号)是该物种进化程度的度量,我们称之为进化熵。“分子钟”在均值恰好为几何布朗运动指数的任何时候,都被重新解释为时间上的进化熵直线。我们还能够将峰值轨迹定理扩展到除指数之外的任何均值。例如,在本文中我们首次推导出与马尔可夫 - 科罗泰耶夫(2007)“三次方”进化相对应的进化熵:一条对数增长曲线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/0561e16f1ed9/life-07-00018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/3645efd70d38/life-07-00018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/cea84463fe68/life-07-00018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/1f33734cbf22/life-07-00018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/29ba740375f4/life-07-00018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/49c413dc825e/life-07-00018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/885278b56bb3/life-07-00018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/0561e16f1ed9/life-07-00018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/3645efd70d38/life-07-00018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/cea84463fe68/life-07-00018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/1f33734cbf22/life-07-00018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/29ba740375f4/life-07-00018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/49c413dc825e/life-07-00018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/885278b56bb3/life-07-00018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f872/5492140/0561e16f1ed9/life-07-00018-g007.jpg

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本文引用的文献

1
A mathematical model for evolution and SETI.用于演化和地外文明探索的数学模型。
Orig Life Evol Biosph. 2011 Dec;41(6):609-19. doi: 10.1007/s11084-011-9260-3. Epub 2011 Dec 3.
2
[Hyperbolic growth of marine and continental biodiversity through the phanerozoic and community evolution].[显生宙海洋和陆地生物多样性的双曲线增长与群落演化]
Zh Obshch Biol. 2008 May-Jun;69(3):175-94.
3
[The dynamics of Phanerozoic marine animal diversity agrees with the hyperbolic growth model].显生宙海洋动物多样性的动态变化符合双曲线增长模型。
Zh Obshch Biol. 2007 Jan-Feb;68(1):3-18.