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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. |
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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 |
||
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 |