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Modelbased Reasoning In Science And Technology Inferential Models For Logic Language Cognition And Computation Fontaine

Name: Modelbased Reasoning In Science And Technology Inferential Models For Logic Language Cognition And Computation Fontaine
SKU: BELL-10592928
Price: 31.00 USD
Availability: InStock
Rating: 4.1 (70 reviews)

SKU: BELL-10592928

$ 31.00 ~~$ 45.00~~ (-31%)

4.1

70 reviews

Modelbased Reasoning In Science And Technology Inferential Models For Logic Language Cognition And Computation Fontaine instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 13.17 MB

Author: Fontaine, Matthieu; Gómez, Cristina Barés; Magnani, Lorenzo; Nepomuceno Fernández, Ángel; Salguero, Francisco J.

ISBN: 9783030327224, 3030327221

Language: English

Year: 2019

Product desciption

Modelbased Reasoning In Science And Technology Inferential Models For Logic Language Cognition And Computation Fontaine by Fontaine, Matthieu; Gómez, Cristina Barés; Magnani, Lorenzo; Nepomuceno Fernández, Ángel; Salguero, Francisco J. 9783030327224, 3030327221 instant download after payment.

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.