| 書目名稱 | Model-Based Reasoning in Scientific Discovery | | 編輯 | Lorenzo Magnani,Nancy J. Nersessian,Paul Thagard | | 視頻video | http://file.papertrans.cn/636/635870/635870.mp4 | | 圖書封面 |  | | 描述 | The volume is based on the papers that were presented at the Interna- tional Conference Model-Based Reasoning in Scientific Discovery (MBR‘98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998. The papers explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The study of diagnostic, visual, spatial, analogical, and temporal rea- soning has demonstrated that there are many ways of performing intelligent and creative reasoning that cannot be described with the help only of tradi- tional notions of reasoning such as classical logic. Traditional accounts of scientific reasoning have restricted the notion of reasoning primarily to de- ductive and inductive arguments. Understanding the contribution of model- ing practices to discovery and conceptual change in science requires ex- panding scientific reasoning to include complex forms of creative reasoning that are not always successful and can lead to incorrect solutions. The study of these heuristic ways of reasoning is situated at the crossroads of philoso- phy, artificial intelligence, cognitive psychology, and logic; that is, at th | | 出版日期 | Book 1999 | | 關(guān)鍵詞 | Action; Bayesian inference; Cognitive science; Constraint Satisfaction; Philosophy of Science; artificial | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-4813-3 | | isbn_softcover | 978-1-4613-7181-6 | | isbn_ebook | 978-1-4615-4813-3 | | copyright | Springer Science+Business Media New York 1999 |
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