Quantum Adaptivity in Biology: From Genetics to Cognition

  • Masanari Asano
  • Andrei Khrennikov
  • Masanori Ohya
  • Yoshiharu Tanaka
  • Ichiro Yamato

Table of contents

  1. Front Matter
    Pages i-xx
  2. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 1-11
  3. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 13-39
  4. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 41-55
  5. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 57-74
  6. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 75-89
  7. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 91-126
  8. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 127-136
  9. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 137-154
  10. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 155-162
  11. Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato
    Pages 163-169
  12. Back Matter
    Pages 171-173

About this book

Introduction

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.

Keywords

adaptive biological dynamics cognitive science, decision making, bistable perception genes expression nonclassical (non-Kolmogorov) probability models in biology quantum probability and information

Authors and affiliations

  • Masanari Asano
    • 1
  • Andrei Khrennikov
    • 2
  • Masanori Ohya
    • 3
  • Yoshiharu Tanaka
    • 4
  • Ichiro Yamato
    • 5
  1. 1.Liberal Arts DivisionTokuyama College of TechnologyTokuyamaJapan
  2. 2.Int. Center Math Modeling in Physics and Cognitive ScienceLinnaeus UniversityVäxjöSweden
  3. 3.Information ScienceTokyo University of ScienceTokyoJapan
  4. 4.Information ScienceTokyo University of ScienceTokyoJapan
  5. 5.Department of Biological Science and TechnologyTokyo University of ScienceTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-9819-8
  • Copyright Information Springer Science+Business Media Dordrecht 2015
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-94-017-9818-1
  • Online ISBN 978-94-017-9819-8
  • About this book