000 03228nam a22004935i 4500
001 978-3-642-10654-5
003 DE-He213
005 20140220084529.0
007 cr nn 008mamaa
008 100319s2010 gw | s |||| 0|eng d
020 _a9783642106545
_9978-3-642-10654-5
024 7 _a10.1007/978-3-642-10654-5
_2doi
050 4 _aQA76.9.M35
072 7 _aGPFC
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a620
_223
100 1 _aIordache, Octavian.
_eauthor.
245 1 0 _aPolystochastic Models for Complexity
_h[electronic resource] /
_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 _uhttp://dx.doi.org/10.1007/978-3-642-10654-5
912 _aZDB-2-PHA
999 _c111762
_d111762