000 03385nam a22004935i 4500
001 978-3-540-76801-2
003 DE-He213
005 20161121230545.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540768012
_9978-3-540-76801-2
024 7 _a10.1007/978-3-540-76801-2
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aDogaru, Radu.
_eauthor.
245 1 0 _aSystematic Design for Emergence in Cellular Nonlinear Networks
_h[electronic resource] :
_bWith Applications in Natural Computing and Signal Processing /
_cby Radu Dogaru.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXII, 166 p. 80 illus.
_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 ;
_v95
505 0 _aNatural Computing Paradigms and Emergent Computation -- Cellular Nonlinear Networks: State of the Art and Applications -- Cellular and Natural Computing Models and Software Simulation -- Emergence, Locating and Measuring It -- Exponents of Growth -- Sieves for Selection of Genes According to Desired Behaviors -- Predicting Emergence from Cell’s Structure -- Applications of Emergent Phenomena.
520 _aCellular nonlinear networks are naturally inspired computing architectures where complex dynamic behaviors may emerge as a result of the local or prescribed connectivity among simple cells. Functionally, much like in biology, each cell is defined by a few bits of information called a gene. Such systems may be used in signal processing applications (intelligent sensors) or may be used to model and understand natural systems. While many publications focus on the dynamics in cellular automata and various applications, less deal with an important problem, that of designing for emergence. Put in simple words: How to choose a cell such that a desired behavior will occur in the cellular system. This book proposes a systematic framework for measuring emergence and a systematic design method to locate computationally meaningful genes in a reasonable computing time. Programs and application examples are provided so that the reader may easily understand the new concepts and develop her own specific experiments. An accessible language recommends it to a large audience including specialists from various interdisciplinary fields who may benefit from a better understanding of emergence and its applications to their specific field.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540768005
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v95
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-76801-2
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c500532
_d500532