000 03480nam a22005175i 4500
001 978-3-642-03180-9
003 DE-He213
005 20140220084524.0
007 cr nn 008mamaa
008 100713s2010 gw | s |||| 0|eng d
020 _a9783642031809
_9978-3-642-03180-9
024 7 _a10.1007/978-3-642-03180-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aSeiffertt, John.
_eauthor.
245 1 0 _aUnified Computational Intelligence for Complex Systems
_h[electronic resource] /
_cby John Seiffertt, Donald C. Wunsch.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _a150p. 9 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEvolutionary Learning and Optimization,
_x1867-4534 ;
_v6
505 0 _aThe Unified Art Architecture -- An Application of Unified Computational Intelligence -- The Time Scales Calculus -- Approximate Dynamic Programming on Time Scales -- Backpropagation on Time Scales -- Unified Computational Intelligence in Social Science.
520 _aComputational intelligence encompasses a wide variety of techniques that allow computation to learn, to adapt, and to seek. That is, they may be designed to learn information without explicit programming regarding the nature of the content to be retained, they may be imbued with the functionality to adapt to maintain their course within a complex and unpredictably changing environment, and they may help us seek out truths about our own dynamics and lives through their inclusion in complex system modeling. These capabilities place our ability to compute in a category apart from our ability to erect suspension bridges, although both are products of technological advancement and reflect an increased understanding of our world. In this book, we show how to unify aspects of learning and adaptation within the computational intelligence framework. While a number of algorithms exist that fall under the umbrella of computational intelligence, with new ones added every year, all of them focus on the capabilities of learning, adapting, and helping us seek. So, the term unified computational intelligence relates not to the individual algorithms but to the underlying goals driving them. This book focuses on the computational intelligence areas of neural networks and dynamic programming, showing how to unify aspects of these areas to create new, more powerful, computational intelligence architectures to apply to new problem domains.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aPhysics.
650 0 _aEconomics, Mathematical.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aComplexity.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aGame Theory/Mathematical Methods.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
700 1 _aWunsch, Donald C.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642031793
830 0 _aEvolutionary Learning and Optimization,
_x1867-4534 ;
_v6
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-03180-9
912 _aZDB-2-ENG
999 _c111479
_d111479