000			03302nam a22005415i 4500
001			978-3-540-71874-1
003			DE-He213
005			20161121231049.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540718741 _9978-3-540-71874-1
024	7		_a10.1007/978-3-540-71874-1 _2doi
050		4	_aQC174.7-175.36
072		7	_aPHS _2bicssc
072		7	_aPHDT _2bicssc
072		7	_aSCI055000 _2bisacsh
082	0	4	_a621 _223
100	1		_aGros, Claudius. _eauthor.
245	1	0	_aComplex and Adaptive Dynamical Systems _h[electronic resource] : _bA Primer / _cby Claudius Gros.
250			_a1.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_aXIV, 250 p. 118 illus., 20 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aGraph Theory and Small-World Networks -- Chaos, Bifurcations and Diffusion -- Random Boolean Networks -- Cellular Automata and Self-Organized Criticality -- Statistical Modeling of Darwinian Evolution -- Synchronization Phenomena -- Elements of Cognitive Systems Theory -- Solutions.
520			_aWe are living in an ever more complex world, an epoch where human actions can accordingly acquire far-reaching potentialities. Complex and adaptive dynamical systems are ubiquitous in the world surrounding us and require us to adapt to new realities and the way of dealing with them. This primer has been developed with the aim of conveying a wide range of "commons-sense" knowledge in the field of quantitative complex system science at an introductory level, providing an entry point to this both fascinating and vitally important subject. The approach is modular and phenomenology driven. Examples of emerging phenomena of generic importance treated in this book are: -- The small world phenomenon in social and scale-free networks. -- Phase transitions and self-organized criticality in adaptive systems. -- Life at the edge of chaos and coevolutionary avalanches resulting from the unfolding of all living. -- The concept of living dynamical systems and emotional diffusive control within cognitive system theory. Technical course prerequisites are a basic knowledge of ordinary and partial differential equations and of statistics. Each chapter comes with exercises and suggestions for further reading - solutions to the exercises are also provided.
650		0	_aPhysics.
650		0	_aComputers.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aBiophysics.
650		0	_aBiological physics.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650	1	4	_aPhysics.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aApplications of Mathematics.
650	2	4	_aBiophysics and Biological Physics.
650	2	4	_aInformation Systems and Communication Service.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540718734
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-71874-1
912			_aZDB-2-PHA
950			_aPhysics and Astronomy (Springer-11651)
999			_c508026 _d508026