683
Książki
Oxford University Press
From Strange Simplicity to Complex Familiarity
Wydawnictwo:
Oxford University Press
Oprawa: Twarda
Opis
This book presents a vivid argument for the almost lost idea of a unity of all natural sciences. It starts with the "strange" physics of matter, including particle physics, atomic physics and quantum mechanics, cosmology, relativity and their consequences (Chapter I), and it continues by describing the properties of material systems that are best understood by statistical and phase-space concepts (Chapter II). These lead to entropy and to the classical picture of quantitative information, initially devoid of value and meaning (Chapter III). Finally, "information space" and dynamics within it are introduced as a basis for semantics (Chapter IV), leading to an exploration of life and thought as new problems in physics (Chapter V). Dynamic equations - again of a strange (but very general) nature - bring about the complex familiarity of the world we live in. Surprising new results in the life sciences open our eyes to the richness of physical thought, and they show us what can and what cannot be explained by a Darwinian approach. The abstract physical approach is applicable to the origins of life, of meaningful information and even of our universe.1. Matter and Energy ; 2. Energy and Entropy ; 3. Entropy and Information ; 4. Information and Complexity ; 5. Complexity and Self-Organisation ; Appendix to Chapter 1 ; Appendix to Chapter 2 ; Appendix to Chapter 3 ; Appendix to Chapter 4 ; Appendix to Chapter 5
Szczegóły
Tytuł
From Strange Simplicity to Complex Familiarity
Autor
Manfred Eigen
Wydawnictwo
Rok wydania
2013
Oprawa
Twarda
Ilość stron
768
ISBN
9780198570219
EAN
9780198570219
Kraj produkcji
PL
Producent
GPSR Oxford University Press Espana S.A.
Avenida de Castilla, 2
28022 El Parque Empresarial San Fernando de Henares
PL
916602600
[email protected]
28022 El Parque Empresarial San Fernando de Henares
PL
916602600
[email protected]
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From Strange Simplicity to Complex Familiarity
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