000 02372nam a22004575i 4500
001 978-3-642-28882-1
003 DE-He213
005 20140220083314.0
007 cr nn 008mamaa
008 120704s2012 gw | s |||| 0|eng d
020 _a9783642288821
_9978-3-642-28882-1
024 7 _a10.1007/978-3-642-28882-1
_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 _aSelf-Evolvable Systems
_h[electronic resource] :
_bMachine Learning in Social Media /
_cby Octavian Iordache.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXXI, 275 p.
_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 _aIntroduction -- General Framework -- Differential Models -- Informational Criteria -- Self-Evolvability for Physical and Chemical Systems -- Self-Evolvability for Biosystems -- Self-Evolvability for Cognitive Systems -- Control Systems -- Manufacturing Systems -- Concept Lattices -- Design of Experiments -- Perspectives.
520 _aThis monograph presents key method to successfully manage the growing  complexity of systems  where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.
650 0 _aEngineering.
650 0 _aPhysics.
650 1 4 _aEngineering.
650 2 4 _aComplexity.
650 2 4 _aComputational Intelligence.
650 2 4 _aNonlinear Dynamics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642288814
830 0 _aUnderstanding Complex Systems,
_x1860-0832
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-28882-1
912 _aZDB-2-PHA
999 _c102911
_d102911