| 000 | 03184nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-45968-2 | ||
| 003 | DE-He213 | ||
| 005 | 20190213151256.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 121227s1988 gw | s |||| 0|eng d | ||
| 020 |
_a9783540459682 _9978-3-540-45968-2 |
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| 024 | 7 |
_a10.1007/3-540-50316-1 _2doi |
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| 050 | 4 | _aQC19.2-20.85 | |
| 072 | 7 |
_aPHU _2bicssc |
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| 072 | 7 |
_aSCI040000 _2bisacsh |
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| 072 | 7 |
_aPHU _2thema |
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| 082 | 0 | 4 |
_a530.1 _223 |
| 245 | 1 | 0 |
_aMeasures of Complexity _h[electronic resource] : _bProceedings of the Conference, Held in Rome September 30 – October 2, 1987 / _cedited by L. Peliti, A. Vulpiani. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1988. |
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| 300 |
_aVII, 151 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Physics, _x0075-8450 ; _v314 |
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| 505 | 0 | _aComplexity 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. | |
| 520 | _aComplexity 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. | ||
| 650 | 1 | 4 |
_aTheoretical, Mathematical and Computational Physics. _0http://scigraph.springernature.com/things/product-market-codes/P19005 |
| 650 | 2 | 4 |
_aBiological and Medical Physics, Biophysics. _0http://scigraph.springernature.com/things/product-market-codes/P27008 |
| 700 | 1 |
_aPeliti, L. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aVulpiani, A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662136836 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783662136829 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540503163 |
| 830 | 0 |
_aLecture Notes in Physics, _x0075-8450 ; _v314 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-50316-1 |
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| 912 | _aZDB-2-LNP | ||
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