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Titlebook: Model-Based Reasoning in Science and Technology; Logical, Epistemolog Lorenzo Magnani,Claudia Casadio Conference proceedings 2016 Springer

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書(shū)目名稱Model-Based Reasoning in Science and Technology
副標(biāo)題Logical, Epistemolog
編輯Lorenzo Magnani,Claudia Casadio
視頻videohttp://file.papertrans.cn/636/635867/635867.mp4
概述Offers an interdisciplinary perspective on the role of models in cognition.Reports on models and inferences, as well as related historical and technological issues.Gathers revised contributions presen
叢書(shū)名稱Studies in Applied Philosophy, Epistemology and Rational Ethics
圖書(shū)封面Titlebook: Model-Based Reasoning in Science and Technology; Logical, Epistemolog Lorenzo Magnani,Claudia Casadio Conference proceedings 2016 Springer
描述.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
出版日期Conference proceedings 2016
關(guān)鍵詞Mental Models; Abductive Cognition; Eco-Cognitive Models; No-Miracle Argument; Strong Predictivism; Explo
版次1
doihttps://doi.org/10.1007/978-3-319-38983-7
isbn_softcover978-3-319-81784-2
isbn_ebook978-3-319-38983-7Series ISSN 2192-6255 Series E-ISSN 2192-6263
issn_series 2192-6255
copyrightSpringer International Publishing Switzerland 2016
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978-3-319-81784-2Springer International Publishing Switzerland 2016
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