000 03292nam a22004935i 4500
001 978-3-642-31078-2
003 DE-He213
005 20200420220227.0
007 cr nn 008mamaa
008 120914s2013 gw | s |||| 0|eng d
020 _a9783642310782
_9978-3-642-31078-2
024 7 _a10.1007/978-3-642-31078-2
_2doi
050 4 _aQA76.9.M35
072 7 _aGPFC
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a620
_223
100 1 _aAdamatzky, Andrew.
_eauthor.
245 1 0 _aReaction-Diffusion Automata: Phenomenology, Localisations, Computation
_h[electronic resource] /
_cby Andrew Adamatzky.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIV, 330 p.
_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 ;
_v1
505 0 _aPart I Phenomenology and localisations -- Part II Population dynamics -- Part III Computation with excitation.
520 _aReaction-diffusion and excitable media are amongst most intriguing substrates. Despite apparent simplicity of the physical processes involved the media exhibit a wide range of amazing patterns: from target and spiral waves to travelling localisations and stationary breathing patterns. These media are at the heart of most natural processes, including morphogenesis of living beings, geological formations, nervous and muscular activity, and socio-economic developments.   This book explores a minimalist paradigm of studying reaction-diffusion and excitable media using locally-connected networks of finite-state machines: cellular automata and automata on proximity graphs. Cellular automata are marvellous objects per se because they show us how to generate and manage complexity using very simple rules of dynamical transitions. When combined with the reaction-diffusion paradigm the cellular automata become an essential user-friendly tool for modelling natural systems and designing future and emergent computing architectures.   The book brings together hot topics of non-linear sciences, complexity, and future and emergent computing. It shows how to discover  propagating localisation and perform computation with them in very simple two-dimensional automaton models.  Paradigms, models and implementations presented in the book strengthen the theoretical foundations in the area for future and emergent computing and  lay key stones towards physical embodied information processing systems.  .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 0 _aComplexity, Computational.
650 1 4 _aEngineering.
650 2 4 _aComplexity.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642310775
830 0 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-31078-2
912 _aZDB-2-ENG
942 _cEBK
999 _c52245
_d52245