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Quantum Adaptivity in Biology : From Genetics to Cognition / by Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato.

By: Asano, Masanari
Contributor(s): Khrennikov, Andrei | Ohya, Masanori | Tanaka, Yoshiharu | Yamato, Ichiro | SpringerLink (Online service)
Material type: materialTypeLabelE-bookPublisher: Dordrecht, Netherlands : Springer, 2015Description: 1 recurso en línea (XX, 173 páginas) : 27 ilustraciones.ISBN: 9789401798198.Subject: Ciencias de la conducta | Proteínas | Redes neuronales artificialesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Preface.-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.
Abstract: This 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.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias de la Salud QH324.2 A836 2015 EB (Browse shelf(Opens below)) .i11572759 Acceso electrónico eBOOK .i11572759
Total holds: 0

Preface.-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.

This 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.

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