LEADER 02746nam 2200637 450 001 9910797419203321 005 20230807221724.0 010 $a9789027268167 010 $a90-272-6816-9 010 $z90-272-1580-4 035 $a(CKB)3710000000466582 035 $a(EBL)2188721 035 $a(SSID)ssj0001543390 035 $a(PQKBManifestationID)16133694 035 $a(PQKBTitleCode)TC0001543390 035 $a(PQKBWorkID)13425290 035 $a(PQKB)10447034 035 $a(PQKBManifestationID)14389653 035 $a(PQKBWorkID)13708181 035 $a(PQKB)23286625 035 $a(MiAaPQ)EBC2188721 035 $a(DLC) 2015022885 035 $a(EXLCZ)993710000000466582 100 $a20150609h20152015 uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCase in Russian $ea sign-oriented approach /$fAlexandra Beytenbrat 210 1$aAmsterdam ;$aPhiladelphia :$cJohn Benjamins Publishing Company,$d[2015] 210 4$dİ2015 215 $a1 online resource (196 pages) 225 1 $aStudies in Functional and Structural Linguistics,$x1385-7916 ;$v70 300 $aDescription based upon print version of record. 311 08$aOnline version: Beytenbrat, Alexandra, author. Case in Russian Amsterdam ; Philadelphia : John Benjamins Publishing Company, [2015] 9789027268167 (DLC) 2015022885 320 $aIncludes bibliographical references and index. 330 $aThis volume presents an analysis of Russian case from a sign-oriented perspective. The study was inspired by William Diver's analysis of Latin case and follows the spirit of the Columbia School of linguistics. The fundamental premise that underlies this volume is that language is a communicative tool shaped by human behavior.In this study, case is viewed as a semantic entity. Each case is assigned an invariant meaning within a larger semantic system, which is validated through numerous examples from spoken language and literary texts to illustrate that the distribution of cases is semantically 410 0$aStudies in functional and structural linguistics ;$v70. 606 $aRussian language$xCase 606 $aRussian language$xCase grammar 606 $aRussian language$xSemantics 606 $aFunctionalism (Linguistics) 615 0$aRussian language$xCase. 615 0$aRussian language$xCase grammar. 615 0$aRussian language$xSemantics. 615 0$aFunctionalism (Linguistics) 676 $a491.75 700 $aBeytenbrat$b Alexandra$01546790 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797419203321 996 $aCase in Russian$93802609 997 $aUNINA LEADER 03806nam 22005895 450 001 9910590053703321 005 20230810231711.0 010 $a9789811940590$b(electronic bk.) 010 $z9789811940583 024 7 $a10.1007/978-981-19-4059-0 035 $a(MiAaPQ)EBC7078235 035 $a(Au-PeEL)EBL7078235 035 $a(CKB)24750398700041 035 $a(DE-He213)978-981-19-4059-0 035 $a(PPN)264192443 035 $a(EXLCZ)9924750398700041 100 $a20220828d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChoice Computing: Machine Learning and Systemic Economics for Choosing /$fby Parag Kulkarni 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (254 pages) 225 1 $aIntelligent Systems Reference Library,$x1868-4408 ;$v225 300 $aIncludes index. 311 08$aPrint version: Kulkarni, Parag Choice Computing: Machine Learning and Systemic Economics for Choosing Singapore : Springer,c2022 9789811940583 327 $aIntroduction -- Decoding Choosing -- ML of Choosing: Architecting Intelligent Choice Framework -- Machine Learning of Choice Economics -- Co-operative Choosing: Machines and Humans Thinking Together to Choose the Right Way -- Choice Architecture ? Machine Learning Framework -- Artificial Consciousness and Choosing (Towards Conscious Choice Machines) -- Choice Computing and Creativity -- Experimental Choice Computing and Choice Learning Through Real-Life Stories -- Beyond Choice Computing. 330 $aThis book presents thoughts and pathways to build revolutionary machine learning models with the new paradigm of machine learning to adapt behaviorism. It focuses on two aspects ? one focuses on architecting a choice process to lead users on the certain choice path while the second focuses on developing machine learning models based on choice paradigm. This book is divided in three parts where part one deals with human choice and choice architecting models with stories of choice architects. Second part closely studies human choosing models and deliberates on developing machine learning models based on the human choice paradigm. Third part takes you further to look at machine learning based choice architecture. The proposed pioneering choice-based paradigm for machine learning presented in the book will help readers to develop products ? help readers to solve problems in a more humanish way and to negotiate with uncertainty in a more graceful but in an objective way. It will help to create unprecedented value for business and society. 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