
Measures of Complexity
Proceedings of the Conference, Held in Rome September 30-October 2, 1987
Springer (Publisher)
Published on 20. November 2013
Book
Paperback/Softback
VII, 151 pages
978-3-662-13683-6 (ISBN)
Description
Complexity is a puzzling and important concept in contemporary research in many disciplines. This book addresses the problem of defining complexity by carefully analysing in what sense complexity means measure in such areas as the theory of dynamical systems, condensed matter physics, ecology, immunology and the theory of neural networks. The information content of complexity is studied and similarities and differences in the various concepts of complexity are highlighted, sometimes provocatively. The book could open the way to finding a paradigm of complexity, and should become a standard reference for a wide audience of researchers in the physical and biological sciences.
More details
Series
Edition
Softcover reprint of the original 1st ed. 1988
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VII, 151 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
254 gr
ISBN-13
978-3-662-13683-6 (9783662136836)
DOI
10.1007/3-540-50316-1
Schweitzer Classification
Other editions
Additional editions
Luca Peliti | Angelo Vulpiani
Measures of Complexity
Proceedings of the Conference, Held in Rome September 30-October 2, 1987
Book
10/1988
Springer
€85.59
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Content
Complexity and forecasting in dynamical systems.- On Complexity.- Boolean networks which learn to compute.- A dynamical learning process for the recognition of correlated patterns in symmetric spin glass models.- Neural networks that learn temporal sequences.- Hierarchical diffusion.- Random walks, random surfaces, and complexity.- Complexity in large technological systems.- An introduction to the theory of computational complexity.- Measures of biologically meaningful complexity.- Complex systems, organization and networks of automata.- Complexity in ecological systems.