Measures of complexity : proceedings of the conference held in Rome, September 30-October 2, 1987
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Bibliographic Information
Measures of complexity : proceedings of the conference held in Rome, September 30-October 2, 1987
（Lecture notes in physics, 314）
Springer-Verlag, c1988
- : gw
- : us
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNP||31488061955
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
: gwdc19:003/p3632070280283
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Proceedings of the International Conference on "Measures of Complexity"; sponsored by the University of Rome "La Sapienza" and the Cassa di risparmio di Roma and held at the Dipartimento di fisica dell'Università "La Sapienza" from Sept. 30-Oct. 2, 1987
Description and Table of Contents
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.
Table of Contents
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.
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