LEADER 05577nam 22008895 450 001 9910298281703321 005 20200701121755.0 010 $a94-017-9819-2 024 7 $a10.1007/978-94-017-9819-8 035 $a(CKB)3710000000400018 035 $a(EBL)2094461 035 $a(SSID)ssj0001500672 035 $a(PQKBManifestationID)11882295 035 $a(PQKBTitleCode)TC0001500672 035 $a(PQKBWorkID)11522084 035 $a(PQKB)11765892 035 $a(DE-He213)978-94-017-9819-8 035 $a(MiAaPQ)EBC2094461 035 $a(PPN)185485634 035 $a(EXLCZ)993710000000400018 100 $a20150414d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aQuantum Adaptivity in Biology: From Genetics to Cognition$b[electronic resource] /$fby Masanari Asano, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato 205 $a1st ed. 2015. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2015. 215 $a1 online resource (185 p.) 300 $aDescription based upon print version of record. 311 $a94-017-9818-4 320 $aIncludes bibliographical references and index. 327 $aPreface.- 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. 330 $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. 606 $aProteins  606 $aBiophysics 606 $aBiological physics 606 $aProbabilities 606 $aBehavioral sciences 606 $aQuantum physics 606 $aNeural networks (Computer science)  606 $aProtein Science$3https://scigraph.springernature.com/ontologies/product-market-codes/L14040 606 $aBiological and Medical Physics, Biophysics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27008 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aBehavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L13009 606 $aQuantum Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19080 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 615 0$aProteins . 615 0$aBiophysics. 615 0$aBiological physics. 615 0$aProbabilities. 615 0$aBehavioral sciences. 615 0$aQuantum physics. 615 0$aNeural networks (Computer science) . 615 14$aProtein Science. 615 24$aBiological and Medical Physics, Biophysics. 615 24$aProbability Theory and Stochastic Processes. 615 24$aBehavioral Sciences. 615 24$aQuantum Physics. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a519 676 $a519.2 676 $a530.12 676 $a570 676 $a571.4 676 $a572.6 676 $a591.5 700 $aAsano$b Masanari$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064849 702 $aKhrennikov$b Andrei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aOhya$b Masanori$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTanaka$b Yoshiharu$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aYamato$b Ichiro$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298281703321 996 $aQuantum Adaptivity in Biology: From Genetics to Cognition$92541199 997 $aUNINA