Measures of Complexity
Measures of Complexity Proceedings of the Conference, Held in Rome September 30 – October 2, 1987 / [electronic resource] :
edited by L. Peliti, A. Vulpiani.
- VII, 151 p. online resource.
- Lecture Notes in Physics, 314 0075-8450 ; .
- Lecture Notes in Physics, 314 .
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.
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.
9783540459682
10.1007/3-540-50316-1 doi
Theoretical, Mathematical and Computational Physics.
Biological and Medical Physics, Biophysics.
QC19.2-20.85
530.1
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.
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.
9783540459682
10.1007/3-540-50316-1 doi
Theoretical, Mathematical and Computational Physics.
Biological and Medical Physics, Biophysics.
QC19.2-20.85
530.1