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020 _a9783319655581
_9
024 7 _a10.1007/978-3-319-65558-1
_2doi
050 4 _aQA267.5.C45
_b2018 EB
245 0 0 _aProbabilistic Cellular Automata :
_bTheory, Applications and Future Perspectives
_cedited by Pierre-Yves Louis, Francesca R. Nardi
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2018.
300 _a1 recurso en línea (XVIII, 344 páginas)
_b89 ilustraciones, 67 ilustraciones a color
347 _atext file
_bPDF
_2rda
490 0 _aEmergence, Complexity and Computation
_x2194-7287
_v27
505 0 _aPreface -- Acknowledgements -- 1 Overview: PCA models and issues -- 2 Probabilistic Cellular Automata in Art.- Part I Probability and statistical mechanics -- 3 Basic ideas to approach metastability in Probabilistic Cellular Automata -- 4 Strategic Interaction in Interacting Particle Systems -- 5 Scaling and inverse scaling in anisotropic bootstrap percolation -- 6 The sandpile cellular automaton -- 7 Ising Model on the Torus and PCA Dynamics: reversibility, irreversibility, and fast tunneling -- 8 Synchronization in Interacting Reinforced Stochastic Processes -- 9 Nonequilibrium physics aspects of Probabilistic Cellular Automata.- Part II Computer science and discrete dynamical systems -- 10 An example of computation of the density of ones in Probabilistic Cellular Automata by direct recursion -- 11 Statistical equilibrium in deterministic Cellular Automata -- 12 Epidemic automaton and the Eden model: various aspects of robustness -- 13 Convergence time of Probabilistic Cellular Automata on the torus -- 14 Percolation operators and related models -- 15 Phase transitions of Cellular Automata.-  Part III Applications to natural sciences and computational (cell) biology -- 16 A trade-off between simplicity and robustness? Illustration on a lattice-gas model of swarming -- 17 PCA modelling of multi-species cell clusters: ganglion development in the gastrointestinal nervous system -- 18 Cellular Potts model: applications to vasculogenesis and angiogenesis -- 19 Cellular Potts Models for interacting cell populations: mathematical foundation, challenges and future prospects -- 20 Cellular Automata for clouds and convection.- Participants of the 2013 Eindhoven meeting.
520 _aThis book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical constructions, and realistic simulation tools for phenomena driven by interactions among a large number of neighboring structures. PCA are currently being used in various fields, ranging from pure probability to the social sciences and including a wealth of scientific and technological applications. This situation has produced a highly diversified pool of theoreticians, developers and practitioners whose interaction is highly desirable but can be hampered by differences in jargon and focus. This book - just as the workshop on which it is based - is an attempt to overcome these difference and foster interest among newcomers and interaction between practitioners from different fields. It is not intended as a treatise, but rather as a gentle introduction to the role and relevance of PCA technology, illustrated with a number of applications in probability, statistical mechanics, computer science, the natural sciences and dynamical systems. As such, it will be of interest to students and non-specialists looking to enter the field and to explore its challenges and open issues.
650 7 _aAutómatas celulares
_9669117
700 1 _aLouis, Pierre-Yves
_eaeditor literario
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_0http://id.loc.gov/authorities/names/no99080603
_1http://viaf.org/viaf/2592829
700 1 _aNardi, Francesca R
_eaeditor literario
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_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/178154440189735342275
710 2 _aSpringerLink (Online service)
_0http://id.loc.gov/authorities/names/no2005046756
_1http://viaf.org/viaf/148105729
_9106996
776 0 8 _iPrinted edition:
_z9783319655567
776 0 8 _iPrinted edition:
_z9783319655574
776 0 8 _iPrinted edition:
_z9783030097424
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-65558-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
998 _b05/2019
_dz
_ea
_feng
_ggw
_h0
999 _c108045
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