國立虎尾科技大學 |

Quantum Adaptivity in Biology: From Genetics to Cognition

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Quantum Adaptivity in Biology: From Genetics to Cognition/ by Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato.
作者:	Asano, Masanari.
其他作者:	Khrennikov, Andrei.
面頁冊數:	XX, 173 p. 27 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Proteins . -
電子資源:	https://doi.org/10.1007/978-94-017-9819-8
ISBN:	9789401798198

Quantum Adaptivity in Biology: From Genetics to Cognition
Asano, Masanari.

Quantum Adaptivity in Biology: From Genetics to Cognition[electronic resource] /by Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato. - 1st ed. 2015. - XX, 173 p. 27 illus.online resource.

Preface.- Introduction -- Fundamentals of classical probability and quantum probability Theory -- Fundamentals of molecular biology.- Adaptive dynamics and general approach to non-Kolmogorov probability theory.- Application of adaptive dynamics to Biology -- Application to decision making theory and cognitive science -- Operational Approach to Modern Theory of Evolution.- Epigenetic 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.

ISBN: 9789401798198

Standard No.: 10.1007/978-94-017-9819-8doiSubjects--Topical Terms:

1253493
Proteins .

LC Class. No.: QD431-431.7

Dewey Class. No.: 572.6

Quantum Adaptivity in Biology: From Genetics to Cognition
LDR:03456nam a22003975i 4500 001 960089
003 DE-He213
005 20200701121755.0
007 cr nn 008mamaa
008 201211s2015 ne | s |||| 0|eng d
020 $a 9789401798198 $9 978-94-017-9819-8
024 7 $a 10.1007/978-94-017-9819-8 $2 doi
035 $a 978-94-017-9819-8
050 4 $a QD431-431.7
072 7 $a PSBC $2 bicssc
072 7 $a SCI007000 $2 bisacsh
072 7 $a PSB $2 thema
082 0 4 $a 572.6 $2 23
100 1 $a Asano, Masanari. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1253762
245 1 0 $a Quantum Adaptivity in Biology: From Genetics to Cognition $h [electronic resource] / $c by Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato.
250 $a 1st ed. 2015.
264 1 $a Dordrecht : $b Springer Netherlands : $b Imprint: Springer, $c 2015.
300 $a XX, 173 p. 27 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Preface.- Introduction -- Fundamentals of classical probability and quantum probability Theory -- Fundamentals of molecular biology.- Adaptive dynamics and general approach to non-Kolmogorov probability theory.- Application of adaptive dynamics to Biology -- Application to decision making theory and cognitive science -- Operational Approach to Modern Theory of Evolution.- Epigenetic Evolution and Theory of Open Quantum Systems -- Foundational Problems of Quantum Mechanics -- Decision and Intention Operators as Generalized Quantum Observables.
520 $a 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.
650 0 $a Proteins . $3 1253493
650 0 $a Biophysics. $3 581576
650 0 $a Biological physics. $3 1253579
650 0 $a Probabilities. $3 527847
650 0 $a Behavioral sciences. $3 1148596
650 0 $a Quantum physics. $3 1179090
650 0 $a Neural networks (Computer science) . $3 1253765
650 1 4 $a Protein Science. $3 782127
650 2 4 $a Biological and Medical Physics, Biophysics. $3 1113305
650 2 4 $a Probability Theory and Stochastic Processes. $3 593945
650 2 4 $a Behavioral Sciences. $3 1065492
650 2 4 $a Quantum Physics. $3 671960
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
700 1 $a Khrennikov, Andrei. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 898705
700 1 $a Ohya, Masanori. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 784473
700 1 $a Tanaka, Yoshiharu. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1253763
700 1 $a Yamato, Ichiro. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1253764
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789401798204
776 0 8 $i Printed edition: $z 9789401798181
776 0 8 $i Printed edition: $z 9789402403862
856 4 0 $u https://doi.org/10.1007/978-94-017-9819-8
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)