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