000			03211nam a22004815i 4500
001			u373829
003			SIRSI
005			20160812084205.0
007			cr nn 008mamaa
008			100319s2010 gw | s |||| 0|eng d
020			_a9783642106545 _9978-3-642-10654-5
040			_cMX-MeUAM
050		4	_aQA76.9.M35
082	0	4	_a620 _223
100	1		_aIordache, Octavian. _eauthor.
245	1	0	_aPolystochastic Models for Complexity _h[recurso electrónico] / _cby Octavian Iordache.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_a298p. 94 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aUnderstanding Complex Systems, _x1860-0832
505	0		_aMethods -- Physical and Chemical Systems -- Biosystems and Bioinspired Systems -- Systems Sciences and Cognitive Systems -- Perspectives -- Appendices.
520			_aThis book is devoted to complexity understanding and management, considered as the main source of efficiency and prosperity for the next decades. Divided into six chapters, the book begins with a presentation of basic concepts as complexity, emergence and closure. The second chapter looks to methods and introduces polystochastic models, the wave equation, possibilities and entropy. The third chapter focusing on physical and chemical systems analyzes flow-sheet synthesis, cyclic operations of separation, drug delivery systems and entropy production. Biomimetic systems represent the main objective of the fourth chapter. Case studies refer to bio-inspired calculation methods, to the role of artificial genetic codes, neural networks and neural codes for evolutionary calculus and for evolvable circuits as biomimetic devices. The fifth chapter, taking its inspiration from systems sciences and cognitive sciences looks to engineering design, case base reasoning methods, failure analysis, and multi-agent manufacturing systems. Perspectives and integrative points of view are discussed in the sixth chapter with reference to the classification of sciences, cybernetics and its extensions, and to transdisciplinarity and categorification. Written for: engineers, researchers, and students in chemical, biochemical, computing and systems science engineering, in neuroscience, psychology, philosophy and mathematics
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aDifferentiable dynamical systems.
650		0	_aPhysics.
650	1	4	_aEngineering.
650	2	4	_aComplexity.
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aDynamical Systems and Ergodic Theory.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642106538
830		0	_aUnderstanding Complex Systems, _x1860-0832
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-10654-5
596			_a19
942			_cLIBRO_ELEC
999			_c201709 _d201709