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    The Amazing Journey of Reason

    from DNA to Artificial Intelligence

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    Author(s)
    Alemi, Mario
    Language
    English
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    Abstract
    This Open Access book explores questions such as why and how did the first biological cells appear? And then complex organisms, brains, societies and –now– connected human societies? Physicists have good models for describing the evolution of the universe since the Big Bang, but can we apply the same concepts to the evolution of aggregated matter –living matter included? The Amazing Journey analyzes the latest results in chemistry, biology, neuroscience, anthropology and sociology under the light of the evolution of intelligence, seen as the ability of processing information. The main strength of this book is using just two concepts used in physics –information and energy– to explain: The emergence and evolution of life: procaryotes, eukaryotes and complex organisms The emergence and evolution of the brain The emergence and evolution of societies (human and not) Possible evolution of our "internet society" and the role that Artificial Intelligence is playing
    URI
    http://library.oapen.org/handle/20.500.12657/23086
    Keywords
    Computer science; Computer science—Mathematics; Input-output equipment (Computers); Computer communication systems; Operating systems (Computers); Algorithms; Mathematical logic
    DOI
    10.1007/978-3-030-25962-4
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2020
    Series
    SpringerBriefs in Computer Science,
    Classification
    Network hardware
    Operating systems
    Algorithms and data structures
    Computer networking and communications
    Mathematical theory of computation
    Maths for computer scientists
    Pages
    113
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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