Bigger Than Chaos: Understanding Complexity Through Probability.

STREVENS, Michael:

ISBN 10: 0674010426 / ISBN 13: 9780674010420

Verlag: Cambridge & London: Harvard University Press, 2003., 2003

Beschreibung

First Edition. Original cloth. Near Fine, in near fine dust jacket. 'Many complex systems from immensely complicated ecosystems to minute assemblages of molecules surprise 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).

Bestandsnummer des Verkäufers 24416

Bibliografische Details

• Titel: Bigger Than Chaos: Understanding Complexity Through Probability.
• Verlag: Cambridge & London: Harvard University Press, 2003.
• Erscheinungsjahr: 2003
• Sprache: Englisch
• ISBN-10: 0674010426
• ISBN-13: 9780674010420
• Einband: Hardcover
• Auflage: 1st Edition
• Zustand: Near Fine
• Zustand des Schutzumschlags: Near Fine

Über diesen Titel

Inhaltsangabe

Many complex systems - from immensely complicated ecosystems to minute assemblages of molecules - surprise us with their simple behaviour. 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 micro-behaviour generate stable, predictable macro-behaviour? 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 centre 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.

Über die Autorin bzw. den Autor

MICHAEL STREVENS is Assistant Professor of Philosophy at Stanford.