000 03329nam a22005295i 4500
001 978-3-642-22830-8
003 DE-He213
005 20140220083810.0
007 cr nn 008mamaa
008 110827s2011 gw | s |||| 0|eng d
020 _a9783642228308
_9978-3-642-22830-8
024 7 _a10.1007/978-3-642-22830-8
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPerlovsky, Leonid.
_eauthor.
245 1 0 _aEmotional Cognitive Neural Algorithms with Engineering Applications
_h[electronic resource] :
_bDynamic Logic: FromVague to Crisp /
_cby Leonid Perlovsky, Ross Deming, Roman Ilin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aX, 202 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v371
505 0 _aAlgorithmic Difficulties since the 1950s -- Dynamic Logic -- Classical Algorithms of Electrical Engineering and Signal Processing -- Emerging Areas -- Epilogue. Future Research Directions.
520 _aDynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL. „Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and neuroscientists interested in mathematical models of the brain and min das well.  
650 0 _aEngineering.
650 0 _aLogic design.
650 0 _aArtificial intelligence.
650 0 _aPhysics.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aComplexity.
650 2 4 _aLogics and Meanings of Programs.
700 1 _aDeming, Ross.
_eauthor.
700 1 _aIlin, Roman.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642228292
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v371
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-22830-8
912 _aZDB-2-ENG
999 _c108266
_d108266