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100   $a20160701d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModel-Based Reasoning in Science and Technology $eLogical, Epistemological, and Cognitive Issues /$fedited by Lorenzo Magnani, Claudia Casadio
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XII, 678 p. 44 illus., 9 illus. in color.) 
225 1 $aStudies in Applied Philosophy, Epistemology and Rational Ethics,$x2192-6255 ;$v27
300   $a"This volume is a collection of selected papers that were presented at the international conference Model-Based Reasoning in Science and Technology."
311   $a3-319-38982-3 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPART 1 Models, Mental Models, and Representations -- PART 2 Abduction, Problem Solving, and Practical Reasoning -- PART 3 Historical, Epistemological, and Technological Issues. .
330   $aThis book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. It includes revised contributions presented during the international conference on Model-Based Reasoning (MBR?015), held on June 25-27 in Sestri Levante, Italy. The book is divided into three main parts, the first of which focuses on models, reasoning and representation. It highlights key theoretical concepts from an applied perspective, addressing issues concerning information visualization, experimental methods and design. The second part goes a step further, examining abduction, problem solving and reasoning. The respective contributions analyze different types of reasoning, discussing various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of historical, epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies in experimental research, this part aims at fostering new discussions and stimulating new ideas. All in all, the book provides researchers and graduate students in the field of applied philosophy, epistemology, cognitive science and artificial intelligence alike with an authoritative snapshot of current theories and applications of model-based reasoning. .
410  0$aStudies in Applied Philosophy, Epistemology and Rational Ethics,$x2192-6255 ;$v27
606   $aEpistemology
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aLogic
606   $aEpistemology$3https://scigraph.springernature.com/ontologies/product-market-codes/E13000
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aLogic$3https://scigraph.springernature.com/ontologies/product-market-codes/E16000
615  0$aEpistemology.
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aLogic.
615 14$aEpistemology.
615 24$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aLogic.
676   $a120
702   $aMagnani$b Lorenzo$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aCasadio$b Claudia$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910255347703321
996   $aModel-Based Reasoning in Science and Technology$92102280
997   $aUNINA