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Randomness, Statistics, and Emergence

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  • 300pages
  • 11 heures de lecture

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In Randomness, Statistics, and Emergence, McShane illustrates how classical and statistical procedures complement one another. One of the conclusions he draws in Randomness is that emergence and evolution are explained in terms of probabilities of emergence and probabilities of survival of recurrence-schemes. To arrive at a principle of emergence, McShane focuses on actual procedures of empirical investigators and the type of explanation they seek. Those doing the relevant sciences—biophysics and biochemistry are his focus in the last four chapters—can verify objective randomness and emergence by attending to their performance. McShane also makes beginnings in heuristics of biological and scientific growth and development. The first edition of this book was first published in 1970. The second edition includes a second preface, “The Riverrun to God,” written by McShane in the fall of 2012. It also includes an editor’s introduction written by Terrance Quinn, author of Invitation to Generalized Empirical Method in Philosophy and Science and The (Pre-) Dawning of Functional Specialization in Physics.

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Randomness, Statistics, and Emergence, Philip McShane

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Année de publication
2021
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