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008			150414s2015 ne | s |||| 0|eng d
020			_a9789401798198
024	7		_a10.1007/978-94-017-9819-8 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _bA836 2015
100	1		_aAsano, Masanari _0Local _994309
245	1	0	_aQuantum Adaptivity in Biology : _bFrom Genetics to Cognition _cby Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato.
260			_aDordrecht, Netherlands _bSpringer _c2015
300			_a1 recurso en línea (XX, 173 páginas) _b27 ilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aPreface.-Â{u9BB4}troduction -- Fundamentals of classical probability and quantum probability Theory -- Fundamentals of molecular biology.-Â{u2801}Adaptive dynamics and general approach to non-Kolmogorov probability theory.-Â{u1C30}plication of adaptive dynamics to Biology -- Application to decision making theory and cognitive science -- Operational Approach to Modern Theory of Evolution.-Â{u5C29}igenetic Evolution and Theory of Open Quantum Systems -- Foundational Problems of Quantum Mechanics -- Decision and Intention Operators as Generalized Quantum Observables.
520	3		_aThis book examines information processing performed by bio-systems at all scales: from genomes, cells, and proteins to cognitive and even social systems. It introduces a theoretical/conceptual principle based on quantum information and non-Kolmogorov probability theory to explain information processing phenomena in biology as a whole. The book begins with an introduction followed by two chapters devoted to fundamentals, one covering classical and quantum probability, which also contains a brief introduction to quantum formalism, and another on an information approach to molecular biology, genetics, and epigenetics. It then goes on to examine adaptive dynamics, including applications to biology, and non-Kolmogorov probability theory. Next, the book discusses the possibility to apply the quantum formalism to model biological evolution, especially at the cellular level: genetic and epigenetic evolutions. It also presents a model of the epigenetic cellular evolution based on the mathematical formalism of open quantum systems. The last two chapters of the book explore foundational problems of quantum mechanics and demonstrate the power of usage of positive operator valued measures (POVMs) in biological science. This book will appeal to a diverse group of readers including experts in biology, cognitive science, decision making, sociology, psychology, and physics; mathematicians working on problems of quantum probability and information; and researchers in quantum foundations.
988			_aEBOOK, EBSPRINGER, asignarmaterias_11febrero
650		7	_aCiencias de la conducta _2embne _9158064
650		7	_aProteínas _2embne _9139861
650		7	_aRedes neuronales artificiales _2embne _9678664
700	1		_aKhrennikov, Andrei _0Local _994310
700	1		_aOhya, Masanori _0Local _994311
700	1		_aTanaka, Yoshiharu _0Local _994312
700	1		_aYamato, Ichiro _0Local _994313
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-94-017-9819-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12903139 _b10-10-17 _c18-01-16
942			_2lcc _cLE
945			_aQH324.2 A836 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11572759 _z06-04-17
998			_dz _e- _feng _gne _h0