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 |