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Model-based reasoning in science and...

Model-Based Reasoning in Science and Technology ((2018 :)

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Model-based reasoning in science and technology = inferential models for logic, language, cognition and computation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Model-based reasoning in science and technology/ edited by Angel Nepomuceno-Fernandez ... [et al.].
Reminder of title:	inferential models for logic, language, cognition and computation /
other author:	Nepomuceno-Fernandez, Angel.
corporate name:	Model-Based Reasoning in Science and Technology
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xiii, 502 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Model-based reasoning - Congresses. -
Online resource:	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 technologyinferential models for logic, language, cognition and computation /[electronic resource] :edited by Angel Nepomuceno-Fernandez ... [et al.]. - Cham :Springer International Publishing :2019. - xiii, 502 p. :ill. (some col.), digital ;24 cm. - Studies in applied philosophy, epistemology and rational ethics,v.492192-6255 ;. - Studies in applied philosophy, epistemology and rational ethics ;v.49..

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:

3454142
Model-based reasoning
--Congresses.

LC Class. No.: Q339.19 / .M634 2018

Dewey Class. No.: 006.3

Model-based reasoning in science and technology = inferential models for logic, language, cognition and computation /
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520 $a 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.
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