Articles liés à Bigger Than Chaos: Understanding Complexity Through...
- ÉditeurHarvard University Press
- Date d'édition2003
- ISBN 10 0674010426
- ISBN 13 9780674010420
- ReliureRelié
- Nombre de pages448
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Bigger than Chaos: Understanding Complexity through Probability
Edité par
Harvard University Press, 2003
ISBN 10 : 0674010426
ISBN 13 : 9780674010420
Ancien ou d'occasion
Couverture rigide
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!. N° de réf. du vendeur S_376029694
Quantité disponible : 1 disponible(s)
Image d'archives
Bigger Than Chaos: Understanding Complexity Through Probability.
Edité par
Cambridge & London: Harvard University Press, 2003., 2003
ISBN 10 : 0674010426
ISBN 13 : 9780674010420
Ancien ou d'occasion
Couverture rigide
Edition originale
Vendeur : Ted Kottler, Bookseller, Redondo Beach, CA, Etats-Unis
Évaluation du vendeur 3 sur 5 étoiles
Hardcover. Etat : Near Fine. Etat de la jaquette : Near Fine. 1st Edition. First Edition. Original cloth. Near Fine, in near fine dust jacket. 'Many complex systemsfrom immensely complicated ecosystems to minute assemblages of moleculessurprise us with their simple behavior. Consider, for instance, the snowflake, in which a great number of water molecules arrange themselves in patterns with six-way symmetry. How is it that molecules moving seemingly at random become organized according to the simple, six-fold rule? How do the comings, goings, meetings, and eatings of individual animals add up to the simple dynamics of ecosystem populations? More generally, how does complex and seemingly capricious microbehavior generate stable, predictable macrobehavior? In this book, Michael Strevens aims to explain how simplicity can coexist with, indeed be caused by, the tangled interconnections between a complex system's many parts. At the center of Strevens's explanation is the notion of probability and, more particularly, probabilistic independence. By examining the foundations of statistical reasoning about complex systems such as gases, ecosystems, and certain social systems, Strevens provides an understanding of how simplicity emerges from complexity. Along the way, he draws lessons concerning the low-level explanation of high-level phenomena and the basis for introducing probabilistic concepts into physical theory' (Harvard University Press Web site). N° de réf. du vendeur 24416
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