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006			m o d
007			cr cnu|||unuuu
008			170518s2017 sz a ob 000 0 eng d
020			_a3319576143
020			_a3319576151 _q(electronic bk.)
020			_a9783319576145
020			_a9783319576152 _q(electronic bk.)
020			_z9783319576145 _q(print)
040			_aGW5XE _cGW5XE _dYDX _dOCLCF _dUAB _dESU _dAZU _dUPM _dIOG _dCOO _dMERER _dVT2 _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQA76.9.M35 _bR473 2017 EB
100	1		_aResconi, Germano, _eautor
245	1	0	_aIntroduction to morphogenetic computing _cGermano Resconi, Xiaolin Xu, Guanglin Xu.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (ix, 172 páginas) _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 703
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aDatabase and Graph Theory [16] -- Crossover and Permutation -- Similarity Between Graphs in Database by Permutations -- Morphogenetic and Morpheme Network to Structured Worlds -- Formal Description and References in Graph Theory.
520	3		_aThis book offers a concise introduction to morphogenetic computing, showing that its use makes global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks more stable and efficient. It also presents applications to database, language, nanotechnology with defects, biological genetic structure, electrical circuit, and big data structure. In Turing machines, input and output states form a system - when the system is in one state, the input is transformed into output. This computation is always deterministic and without any possible contradiction or defects. In natural computation there are defects and contradictions that have to be solved to give a coherent and effective computation. The new computation generates the morphology of the system that assumes different forms in time. Genetic process is the prototype of the morphogenetic computing. At the Boolean logic truth value, we substitute a set of truth (active sets) values with possible contradictions. The value of a proposition is a set of true and false values. The aim of morphogenetic computing is to use and solve the contradictions in order to transform systems to allow classical computation.
650		7	_aMatemáticas discretas _2embne _0(OCoLC)fst00872460 _0 _9160233
700	1		_aXu, Guanglin, _eautor
700	1		_aXu, Xiaolin, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-57615-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c96011 _d96011 _x1