Titlebook: Evo-SETI; Life Evolution Stati Claudio Maccone Book 2020 Springer Nature Switzerland AG 2020 Search for Extraterrestrial Intelligence.Peak-

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,Kurzweil’s Singularity as a Part of Evo-SETI Theory,ar 2045. In this chapter we prove that Kurzweil’s prediction is in agreement with the “Evo-SETI (Evolution and SETI)” mathematical model that this author has developed over the last ten years in a series of mathematical papers published in both Acta Astronautica and the International Journal of Astr

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Energy of Extra-Terrestrial Civilizations According to Evo-SETI Theory,g Mars: he knew experimentally that his three laws were correct, but he didn’t even suspect that all three mathematical laws could be . as purely mathematical consequences of a “superior” mathematical law. The latter was the Law of Gravitation that Newton gave the world together with his supreme mat

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o modern human societies.Predicts when computers will take o.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 possibl

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Daniel J. Christie,Noraini M. Noorn conclusion: we have provided a new mathematical model capable of embracing molecular evolution, SETI and entropy into a simple set of statistical equations based upon .-lognormals and lognormal stochastic processes with arbitrary mean, of which the GBMs are the ..

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Critique of Providential Enlightenment,may be . distributed, approaches a Gaussian (i.e. normal) random variable. This is called the Lyapunov form of the CLT, or the Lindeberg form of the CLT, depending on the mathematical constraints assumed on the third moments of the various probability distributions. In conclusion, we show that

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Evolution and Mass Extinctions as Lognormal Stochastic Processes,n conclusion: we have provided a new mathematical model capable of embracing molecular evolution, SETI and entropy into a simple set of statistical equations based upon .-lognormals and lognormal stochastic processes with arbitrary mean, of which the GBMs are the ..

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