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Model-based reasoning in science and technology[electronic resource] :logical, epistemological, and cognitive issues /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	100
書名/作者:	Model-based reasoning in science and technology : logical, epistemological, and cognitive issues // edited by Lorenzo Magnani, Claudia Casadio.
其他作者:	Magnani, Lorenzo.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xii, 678 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Model-based reasoning.
標題:	Philosophy.
標題:	Epistemology.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Logic.
ISBN:	9783319389837
ISBN:	9783319389820
內容註:	PART 1 Models, Mental Models, and Representations -- PART 2 Abduction, Problem Solving, and Practical Reasoning -- PART 3 Historical, Epistemological, and Technological Issues.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-38983-7

Model-based reasoning in science and technology[electronic resource] :logical, epistemological, and cognitive issues /
Model-based reasoning in science and technologylogical, epistemological, and cognitive issues /[electronic resource] :edited by Lorenzo Magnani, Claudia Casadio. - Cham :Springer International Publishing :2016. - xii, 678 p. :ill., digital ;24 cm. - Studies in applied philosophy, epistemology and rational ethics,v.272192-6255 ;. - Studies in applied philosophy, epistemology and rational ethics ;v.13..

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.

ISBN: 9783319389837

Standard No.: 10.1007/978-3-319-38983-7doiSubjects--Topical Terms:

667063
Model-based reasoning.

LC Class. No.: Q339.19 / .M64 2016

Dewey Class. No.: 100

Model-based reasoning in science and technology[electronic resource] :logical, epistemological, and cognitive issues /
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