000			03436nam a22004815i 4500
001			978-0-387-30440-3
003			DE-He213
005			20250710083946.0
007			cr nn 008mamaa
008			100301s2009 xxu| s |||| 0|eng d
020			_a9780387304403 _a99780387304403
024	7		_a10.1007/978-0-387-30440-3 _2doi
082	0	4	_a621 _223
100	1		_aMeyers, Robert A. _eeditor.
245	1	0	_aEncyclopedia of Complexity and Systems Science _h[recurso electrónico] / _cedited by Robert A. Meyers.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2009.
300			_aLXXX, 10370p. 4300 illus., 2040 illus. in color. eReference. In 11 volumes, not available separately. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aEncyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Examples of near-term problems and major unknowns that can be approached through complexity and systems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformatics as systems biology; human longevity limits; the limits of computing; sustainability of life on earth; predictability, dynamics and extent of earthquakes, hurricanes, tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in physics, microprocessor design; macromolecular assembly in chemistry and biophysics; brain functions in cognitive neuroscience; climate change; ecosystem management; traffic management; and business cycles. All these seemingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another. This unique work will extend the influence of complexity and system science to a much wider audience than has been possible to date.
650		0	_aPHYSICS.
650		0	_aCHEMISTRY.
650		0	_aGEOGRAPHY.
650		0	_aBIOINFORMATICS.
650		0	_aDISTRIBUTION (PROBABILITY THEORY).
650		0	_aECONOMICS.
650	1	4	_aPHYSICS.
650	2	4	_aSTATISTICAL PHYSICS, DYNAMICAL SYSTEMS AND COMPLEXITY.
650	2	4	_aPROBABILITY THEORY AND STOCHASTIC PROCESSES.
650	2	4	_aCHEMISTRY/FOOD SCIENCE, GENERAL.
650	2	4	_aBIOINFORMATICS.
650	2	4	_aECONOMICS GENERAL.
650	2	4	_aEARTH SCIENCES, GENERAL.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387758886
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-30440-3 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-PHA
942			_2ddc _cER
999			_c57055 _d57055