Bigger than Chaos : : Understanding Complexity through Probability / / Michael Strevens.

• Superior document: Title is part of eBook package: De Gruyter HUP eBook-Package Backlist 2000-2013 (Canada)
• VerfasserIn: Strevens, Michael,
• Place / Publishing House: Cambridge, MA : : Harvard University Press, , [2021]; ©2003
• Year of Publication: 2021
• Language: English
• Physical Description: 1 online resource (429 p.)
• Other title: Frontmatter --; Acknowledgments --; Contents --; Figures --; Note to the Reader --; 1. The Simple Behavior of Complex Systems --; 2. The Physics of Complex Probability --; 3. The Independence of Complex Probabilities --; 4. The Simple Behavior of Complex Systems Explained --; 5. Implications for the Philosophy of the Higher-Level Sciences --; Notes --; Glossary --; References --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9780674044067; 9783110756067; 9783110442205
• DOI: 10.4159/9780674044067?locatt=mode:legacy
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Michael Strevens.

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.