LEADER 03424nam 22006855 450 001 9910917779103321 005 20241211115251.0 010 $a9783031677472 010 $a3031677471 024 7 $a10.1007/978-3-031-67747-2 035 $a(CKB)36959385100041 035 $a(MiAaPQ)EBC31826290 035 $a(Au-PeEL)EBL31826290 035 $a(DE-He213)978-3-031-67747-2 035 $a(OCoLC)1478694134 035 $a(EXLCZ)9936959385100041 100 $a20241211d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Theory $eAn Exploration Across Disciplines /$fby Arieh Ben-Naim, Claude Dufour 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (258 pages) 311 08$a9783031677465 311 08$a3031677463 327 $aIntroduction -- Information Theory and the Living System -- Applications of Information Theory to Psychology -- Entropy in art -- Consistent Definition of Correlations and Multivariate Mutual Information -- An intuitive consideration of irreversible phenomena -- Use of mutual information in linguistics, cryptography, and steganography -- Communication system. 330 $aThis monograph explores the interdisciplinary applications of information theory, focusing on the concepts of entropy, mutual information, and their implications in various fields. It explains the fundamental differences between entropy and Shannon?s Measure of Information (SMI), presents the application of information theory to living systems and psychology, and also discusses the role of entropy in art. It critically overviews the definition of correlations and multivariate mutual information.These notions are used to build a new perspective for understanding the irreversibility of processes in macroscopic systems, while the dynamical laws governing the microscopic components are reversible. It also delves into the use of mutual information in linguistics, cryptography, steganography, and communication systems. The book details the theoretical and practical aspects of information theory across a spectrum of disciplines and is a useful tool for any scientist interested in what is usually called entropy. 606 $aData structures (Computer science) 606 $aInformation theory 606 $aThermodynamics 606 $aChemistry, Physical and theoretical 606 $aProbabilities 606 $aData Structures and Information Theory 606 $aThermodynamics 606 $aTheoretical Chemistry 606 $aProbability Theory 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aThermodynamics. 615 0$aChemistry, Physical and theoretical. 615 0$aProbabilities. 615 14$aData Structures and Information Theory. 615 24$aThermodynamics. 615 24$aTheoretical Chemistry. 615 24$aProbability Theory. 676 $a005.73 676 $a003.54 700 $aBen-Naim$b Arieh$0471923 701 $aDufour$b Claude$01779952 701 $aForchheimer$b Robert$0924339 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910917779103321 996 $aInformation Theory$94303623 997 $aUNINA