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        Information—Consciousness—Reality

        How a New Understanding of the Universe Can Help Answer Age-Old Questions of Existence

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        Author(s)
        Glattfelder, James B.
        Language
        English
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        Abstract
        This open access book chronicles the rise of a new scientific paradigm offering novel insights into the age-old enigmas of existence. Over 300 years ago, the human mind discovered the machine code of reality: mathematics. By utilizing abstract thought systems, humans began to decode the workings of the cosmos. From this understanding, the current scientific paradigm emerged, ultimately discovering the gift of technology. Today, however, our island of knowledge is surrounded by ever longer shores of ignorance. Science appears to have hit a dead end when confronted with the nature of reality and consciousness. In this fascinating and accessible volume, James Glattfelder explores a radical paradigm shift uncovering the ontology of reality. It is found to be information-theoretic and participatory, yielding a computational and programmable universe.
        URI
        http://library.oapen.org/handle/20.500.12657/23108
        Keywords
        Popular works; Physics; Epistemology; Physics; Statistical physics; Dynamical systems; Philosophy and science; Philosophy
        DOI
        10.1007/978-3-030-03633-1
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2019
        Series
        The Frontiers Collection,
        Classification
        Philosophy: epistemology and theory of knowledge
        Popular philosophy
        Philosophy of science
        History of science
        Popular science
        Statistical physics
        Pages
        662
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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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