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Evo-SETI = Life Evolution Statistics on Earth and Exoplanets /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evo-SETI/ by Claudio Maccone.
其他題名:	Life Evolution Statistics on Earth and Exoplanets /
作者:	Maccone, Claudio.
面頁冊數:	LVII, 837 p. 278 illus., 244 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Evolutionary Biology. -
電子資源:	https://doi.org/10.1007/978-3-030-51931-5
ISBN:	9783030519315

Evo-SETI = Life Evolution Statistics on Earth and Exoplanets /
Maccone, Claudio.

Evo-SETILife Evolution Statistics on Earth and Exoplanets /[electronic resource] :by Claudio Maccone. - 1st ed. 2020. - LVII, 837 p. 278 illus., 244 illus. in color.online resource.

Overcome Theorem (formerly Peak-Locus Theorem): growth of Life on Earth over the last 3.5 billion years -- NASA vs. SETI: 1992-2020 -- Physics, Chemistry and Mathematics are THE SAME all over the Universe -- Classical Drake equation (1961) vs. STATISTICAL Drake equation (2008).

This book offers a vision of how evolutionary life processes can be modelled. It presents a mathematical description that can be used not only for the full evolution of life on Earth from RNA to modern human societies, but also the possible evolution of life on exoplanets, thus leading to SETI, the current Search for ExtraTerrestrial Intelligence. The main premise underlying this mathematical theory is that the Geometric Brownian Motion (GBM) can be applied as a key stochastic process to model the evolution of life. In the resulting Evo-SETI Theory, the life of any living thing (a cell, an animal, a human, a civilization of humans, or even an ET civilization) is represented by a b-lognormal, i.e., a lognormal probability density function starting at a precise instant (b, birth) then increasing up to a peak time, then decreasing to senility time and then continuing as a straight line down to the time of death. Using this theory, Claudio Maccone arrives at remarkable hypotheses on the development of life and civilizations, the possibility of extraterrestrial life, and when computers will take over the reins from us humans (Singularity). The book develops the mathematical Evo-SETI Theory by integrating a set of articles that the author has published in various journals on Astrobiology and Astronautical Research.

ISBN: 9783030519315

Standard No.: 10.1007/978-3-030-51931-5doiSubjects--Topical Terms:

668573
Evolutionary Biology.

LC Class. No.: QH327-328

Dewey Class. No.: 576.839

Evo-SETI = Life Evolution Statistics on Earth and Exoplanets /
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