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A Framework for Computing Like Nature

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Computing Nature

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 7))

Abstract

We address the context within which ‘Natural’ computation can be carried out, and conclude that a birational ecosystemic hierarchical framework would provide for computation which is closer to Nature. This presages a major philosophical change in the way Science can be carried out. A consequence is that all system properties appear as intermediates between unattainable dimensional extremes; even existence itself. We note that Classical and Quantum mechanical paradigms make up a complementary pair. What we wish to do is to bring all of Science under a generalized umbrella of entity and its ecosystem, and then characterize different types of entity by their relationships with their relevant ecosystems. The most general way to do this is to move the ecosystemic paradigm up to the level of its encompassing logic, creating a complementary pair of conceivably different logics – one for the entity we are focusing on; one for the ecosystem within which it exists – and providing for their quasi-autonomous birational interaction.

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Authors and Affiliations

  1. The Living Systems Project, Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium

    Ron Cottam, Willy Ranson & Roger Vounckx

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  1. Ron Cottam
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  2. Willy Ranson
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  3. Roger Vounckx
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Correspondence to Ron Cottam .

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Editors and Affiliations

  1. , School of Innovation, Design and Eng., Mälardalen University, Västerås, 72123, Sweden

    Gordana Dodig-Crnkovic

  2. , Faculty of Philosophy, Pontifical Lateran University, Piazza S. Giovanni in Laterano 4, Vatican City, 00120, Italy

    Raffaela Giovagnoli

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Cottam, R., Ranson, W., Vounckx, R. (2013). A Framework for Computing Like Nature. In: Dodig-Crnkovic, G., Giovagnoli, R. (eds) Computing Nature. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37225-4_2

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