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Model-Based Reasoning in Science and...
~
Magnani, Lorenzo.
Model-Based Reasoning in Science and Technology = Inferential Models for Logic, Language, Cognition and Computation /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Model-Based Reasoning in Science and Technology/ edited by Ángel Nepomuceno-Fernández, Lorenzo Magnani, Francisco J. Salguero-Lamillar, Cristina Barés-Gómez, Matthieu Fontaine.
其他題名:
Inferential Models for Logic, Language, Cognition and Computation /
其他作者:
Nepomuceno-Fernández, Ángel.
面頁冊數:
XIII, 502 p. 78 illus., 14 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Epistemology. -
電子資源:
https://doi.org/10.1007/978-3-030-32722-4
ISBN:
9783030327224
Model-Based Reasoning in Science and Technology = Inferential Models for Logic, Language, Cognition and Computation /
Model-Based Reasoning in Science and Technology
Inferential Models for Logic, Language, Cognition and Computation /[electronic resource] :edited by Ángel Nepomuceno-Fernández, Lorenzo Magnani, Francisco J. Salguero-Lamillar, Cristina Barés-Gómez, Matthieu Fontaine. - 1st ed. 2019. - XIII, 502 p. 78 illus., 14 illus. in color.online resource. - Studies in Applied Philosophy, Epistemology and Rational Ethics,492192-6255 ;. - Studies in Applied Philosophy, Epistemology and Rational Ethics,16.
This 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 contradictions in 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.
ISBN: 9783030327224
Standard No.: 10.1007/978-3-030-32722-4doiSubjects--Topical Terms:
671538
Epistemology.
LC Class. No.: BD143-237
Dewey Class. No.: 120
Model-Based Reasoning in Science and Technology = Inferential Models for Logic, Language, Cognition and Computation /
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