LEADER 02740nam 2200613 450 001 9910826999103321 005 20200520144314.0 010 $a0-8131-0895-0 010 $a0-8131-4843-X 035 $a(CKB)3710000000333851 035 $a(EBL)1914969 035 $a(SSID)ssj0001401781 035 $a(PQKBManifestationID)12607359 035 $a(PQKBTitleCode)TC0001401781 035 $a(PQKBWorkID)11351988 035 $a(PQKB)10874132 035 $a(OCoLC)605548431 035 $a(MdBmJHUP)muse43758 035 $a(Au-PeEL)EBL1914969 035 $a(CaPaEBR)ebr11011650 035 $a(CaONFJC)MIL690713 035 $a(OCoLC)900344342 035 $a(MiAaPQ)EBC1914969 035 $a(EXLCZ)993710000000333851 100 $a20150206h19961996 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDeterrence in the second nuclear age /$fKeith B. Payne 210 1$aLexington, Kentucky :$cThe University Press of Kentucky,$d1996. 210 4$d©1996 215 $a1 online resource (185 p.) 300 $aIncludes index. 311 $a1-322-59431-7 311 $a0-8131-1998-7 320 $aIncludes bibliographical references and index. 327 $aCover; Title; Copyright; Contents; Foreword; Preface; Acknowledgments; Abbreviations; Chapter 1. Introduction; Chapter 2. New Environment, New Requirement; Chapter 3. The Valor of Ignorance; Chapter 4. Success, Motivation, Mistakes, and Uncertainty; Chapter 5. Reconsidering the Hubris of Past and Present; Chapter 6. Summary and Conclusion; Index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W 330 $aKeith Payne begins by asking, ""Did we really learn how to deter predictably and reliably during the Cold War?"" He answers cautiously in the negative, pointing out that we know only that our policies toward the Soviet Union did not fail. What we can be more certain of, in Payne's view, is that such policies will almost assuredly fail in the Second Nuclear Age -- a period in which direct nuclear threat between superpowers has been replaced by threats posed by regional ""rogue"" powers newly armed with chemical, biological, or nuclear weapons.The fundamental problem with deterrence theory is th 606 $aDeterrence (Strategy) 606 $aWorld politics$y1989- 607 $aUnited States$xMilitary policy 615 0$aDeterrence (Strategy) 615 0$aWorld politics 676 $a327.1/7 700 $aPayne$b Keith B.$01687802 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910826999103321 996 $aDeterrence in the second nuclear age$94086924 997 $aUNINA LEADER 03922nam 22006495 450 001 9910349539103321 005 20251230065328.0 010 $a3-030-32722-1 024 7 $a10.1007/978-3-030-32722-4 035 $a(CKB)4100000009670205 035 $a(MiAaPQ)EBC5966656 035 $a(DE-He213)978-3-030-32722-4 035 $a(EXLCZ)994100000009670205 100 $a20191024d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModel-Based Reasoning in Science and Technology $eInferential Models for Logic, Language, Cognition and Computation /$fedited by Ángel Nepomuceno-Fernández, Lorenzo Magnani, Francisco J. Salguero-Lamillar, Cristina Barés-Gómez, Matthieu Fontaine 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (510 pages) 225 1 $aStudies in Applied Philosophy, Epistemology and Rational Ethics,$x2192-6263 ;$v49 311 08$a3-030-32721-3 320 $aIncludes bibliographical references and index. 330 $aThis book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24?26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictionsin modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning. 410 0$aStudies in Applied Philosophy, Epistemology and Rational Ethics,$x2192-6263 ;$v49 606 $aKnowledge, Theory of 606 $aCognitive psychology 606 $aArtificial intelligence 606 $aSociology$xMethodology 606 $aEpistemology 606 $aCognitive Psychology 606 $aArtificial Intelligence 606 $aSociological Methods 615 0$aKnowledge, Theory of. 615 0$aCognitive psychology. 615 0$aArtificial intelligence. 615 0$aSociology$xMethodology. 615 14$aEpistemology. 615 24$aCognitive Psychology. 615 24$aArtificial Intelligence. 615 24$aSociological Methods. 676 $a128 702 $aNepomuceno-Fernández$b Ángel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMagnani$b Lorenzo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSalguero-Lamillar$b Francisco J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarés-Gómez$b Cristina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFontaine$b Matthieu$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349539103321 996 $aModel-Based Reasoning in Science and Technology$92102280 997 $aUNINA