04171nam 22006015 450 991025534770332120200701020233.03-319-38983-110.1007/978-3-319-38983-7(CKB)3710000000746219(DE-He213)978-3-319-38983-7(MiAaPQ)EBC4578522(EXLCZ)99371000000074621920160701d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierModel-Based Reasoning in Science and Technology Logical, Epistemological, and Cognitive Issues /edited by Lorenzo Magnani, Claudia Casadio1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XII, 678 p. 44 illus., 9 illus. in color.) Studies in Applied Philosophy, Epistemology and Rational Ethics,2192-6255 ;27"This volume is a collection of selected papers that were presented at the international conference Model-Based Reasoning in Science and Technology."3-319-38982-3 Includes bibliographical references at the end of each chapters.PART 1 Models, Mental Models, and Representations -- PART 2 Abduction, Problem Solving, and Practical Reasoning -- PART 3 Historical, Epistemological, and Technological Issues. .This 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. .Studies in Applied Philosophy, Epistemology and Rational Ethics,2192-6255 ;27EpistemologyComputational intelligenceArtificial intelligenceLogicEpistemologyhttps://scigraph.springernature.com/ontologies/product-market-codes/E13000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Logichttps://scigraph.springernature.com/ontologies/product-market-codes/E16000Epistemology.Computational intelligence.Artificial intelligence.Logic.Epistemology.Computational Intelligence.Artificial Intelligence.Logic.120Magnani Lorenzoedthttp://id.loc.gov/vocabulary/relators/edtCasadio Claudiaedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910255347703321Model-Based Reasoning in Science and Technology2102280UNINA