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  1. The fuzzy logic of chaos and probabilistic inference.I. Antoniou & Z. Suchanecki - 1997 - Foundations of Physics 27 (3):333-362.
    The logic of a physical system consists of the elementary observables of the system. We show that for chaotic systems the logic is not any more the classical Boolean lattice but a kind of fuzzy logic which we characterize for a class of chaotic maps. Among other interesting properties the fuzzy logic of chaos does not allow for infinite combinations of propositions. This fact reflects the instability of dynamics and it is shared also by quantum systems with diagonal singularity. We (...)
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  • (1 other version)What Is Life?Erwin Schroedinger - 1947 - Philosophy of Science 14 (2):174-174.
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  • The unreasonable effectiveness of mathematics in the natural sciences.Eugene Wigner - 1960 - Communications in Pure and Applied Mathematics 13:1-14.
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  • The end of certainty: time, chaos, and the new laws of nature.I. Prigogine - 1997 - New York: Free Press. Edited by Isabelle Stengers.
    [Time, the fundamental dimension of our existence, has fascinated artists, philosophers, and scientists of every culture and every century. All of us can remember a moment as a child when time became a personal reality, when we realized what a "year" was, or asked ourselves when "now" happened. Common sense says time moves forward, never backward, from cradle to grave. Nevertheless, Einstein said that time is an illusion. Nature's laws, as he and Newton defined them, describe a timeless, deterministic universe (...)
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  • On The Unreasonable Effectiveness of Mathematics in the Natural Sciences.Sorin Bangu - 1st ed. 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 11-29.
    I present a reconstruction of Eugene Wigner’s argument for the claim that mathematics is ‘unreasonable effective’, together with six objections to its soundness. I show that these objections are weaker than usually thought, and I sketch a new objection.
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  • From Being to Becoming.I. Prigogine - 1982 - British Journal for the Philosophy of Science 33 (3):325-329.
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  • Mathematical foundations of information theory.Aleksandr I͡Akovlevich Khinchin - 1957 - New York,: Dover Publications.
    First comprehensive introduction to information theory explores the work of Shannon, McMillan, Feinstein, and Khinchin. Topics include the entropy concept in probability theory, fundamental theorems, and other subjects. 1957 edition.
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  • The recently recognized failure of predictability in Newtonian dynamics.Sir James Lighthill - 1986 - In Basil John Mason, Peter Mathias & J. H. Westcott (eds.), Predictability in science and society: a joint symposium of the Royal Society and the British Academy held on 20 and 21 March 1986. Great Neck, N.Y.: Scholium International.
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