000 04455nam a22005535i 4500
001 978-3-540-92910-9
003 DE-He213
005 20140220083255.0
007 cr nn 008mamaa
008 120825s2012 gw | s |||| 0|eng d
020 _a9783540929109
_9978-3-540-92910-9
024 7 _a10.1007/978-3-540-92910-9
_2doi
050 4 _aQA75.5-76.95
072 7 _aUY
_2bicssc
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aCOM031000
_2bisacsh
082 0 4 _a004.0151
_223
100 1 _aRozenberg, Grzegorz.
_eeditor.
245 1 0 _aHandbook of Natural Computing
_h[electronic resource] /
_cedited by Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aLII, 2052 p. eReference.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aNatural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.
650 0 _aComputer science.
650 0 _aInformation theory.
650 0 _aArtificial intelligence.
650 0 _aBiological models.
650 0 _aEngineering.
650 0 _aNanotechnology.
650 1 4 _aComputer Science.
650 2 4 _aTheory of Computation.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aQuantum Information Technology, Spintronics.
650 2 4 _aSystems Biology.
650 2 4 _aNanotechnology.
700 1 _aBäck, Thomas.
_eeditor.
700 1 _aKok, Joost N.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540929093
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-92910-9
912 _aZDB-2-SCS
999 _c101804
_d101804