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E-book
Author Maccone, Claudio, author.

Title Evo-SETI : life evolution statistics on Earth and exoplanets / Claudio Maccone
Published Cham : Springer, [2020]

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Description 1 online resource : illustrations (some color)
Contents 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)
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed March 31, 2021)
Subject Evolution (Biology) -- Mathematical models
Life on other planets -- Mathematical models
Evolution (Biology) -- Mathematical models
Form Electronic book
ISBN 9783030519315
3030519317
9783030519322
3030519325
9783030519339
3030519333