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Quantum Adaptivity in Biology: From Genetics to Cognition

  • Book
  • © 2015

Overview

  • Explores the mathematical formalism of quantum information theory (the most modern and rapidly developing domain of quantum physics) in the biological context
  • Will appeal to wide range of readers and includes introductory chapters devoted to the corresponding mathematical, physical and biological theories to help all readers understand the fundamentals
  • Features a number of illustrative examples which can be useful in this multi-disciplinary context
  • Includes supplementary material: sn.pub/extras

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Table of contents (10 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Liberal Arts Division, Tokuyama College of Technology, Tokuyama, Japan

    Masanari Asano

  • Int. Center Math Modeling in Physics and Cognitive Science, Linnaeus University, Växjö, Sweden

    Andrei Khrennikov

  • Information Science, Tokyo University of Science, Tokyo, Japan

    Masanori Ohya, Yoshiharu Tanaka

  • Department of Biological Science and Technology, Tokyo University of Science, Tokyo, Japan

    Ichiro Yamato

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