{epub download} What Is Life?: Evolution as Computation by Blaise Aguera y Arcas
What Is Life?: Evolution as Computation by Blaise Aguera y Arcas
- What Is Life?: Evolution as Computation
- Blaise Aguera y Arcas
- Page: 170
- Format: pdf, ePub, mobi, fb2
- ISBN: 9780262554091
- Publisher: MIT Press
Free downloads books in pdf What Is Life?: Evolution as Computation 9780262554091
What life is, and how its essence can be understood as computation that grows more complex over time in symbiotic relationships. In 1944, quantum mechanics pioneer Erwin Schrödinger wrote a slim but influential volume, What Is Life?, posing the primary question that rendered biology so mysterious to a physicist. How can life and all its attendant complexities come to exist in a random universe, governed by simple laws, whose disorder only increases over time? This small book, richly illustrated and written for a general audience, offers a deep and surprising answer, drawing on decades of theory and existing literature as well as recent experiments in artificial life. Beginning with ideas developed by Alan Turing and John von Neumann in the mid-twentieth century, Agüera y Arcas shows how self-reproduction, hence life, is inherently computational. Life evolves spontaneously in environments capable of supporting computation, like our own universe, and grows more complex over time as it enters symbiotic relationships with itself. What Is Life? is also the first part of Agüera y Arcas’s larger book What Is Intelligence?, which further develops a computational and symbiotic perspective on intelligence, from simple organisms to brains and societies to AI.
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Author: Blaise Aguera Y. Arcas ; Format: Quality Paperback ; Publisher: MIT Press ; Published: Mar 2025 ; Genre: Science - Life Sciences - Evolution.
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What life is, and how its essence can be understood as computation that grows more complex over time in symbiotic relationships. In 1944, .
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What life is, and how its essence can be understood as computation that grows more complex over time in symbiotic relationships.
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