000 03660nam a22005175i 4500
001 978-3-319-03191-0
003 DE-He213
005 20200421112228.0
007 cr nn 008mamaa
008 131217s2014 gw | s |||| 0|eng d
020 _a9783319031910
_9978-3-319-03191-0
024 7 _a10.1007/978-3-319-03191-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aApplications of Membrane Computing in Systems and Synthetic Biology
_h[electronic resource] /
_cedited by Pierluigi Frisco, Marian Gheorghe, Mario J. P�erez-Jim�enez.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVII, 266 p. 100 illus., 61 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 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v7
505 0 _aFrom the Contents: A P Systems based Tool for Systems and Synthetic Biology -- Statistical Model Checking of Membrane Systems with Peripheral Proteins: Quantifying the Role of Estrogen in Cellular Mitosis and DNA Damage -- Molecular Diffusion and Compartmentalization in Signal Transduction Pathways: An Application of Membrane Systems to the Study of Bacterial Chemotaxis.
520 _aMembrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way. Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm. The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework.  The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems.  .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aComplexity, Computational.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComplexity.
700 1 _aFrisco, Pierluigi.
_eeditor.
700 1 _aGheorghe, Marian.
_eeditor.
700 1 _aP�erez-Jim�enez, Mario J.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319031903
830 0 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v7
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03191-0
912 _aZDB-2-ENG
942 _cEBK
999 _c57790
_d57790