Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation

by ïngel Nepomuceno-Fernïndez, Lorenzo Magnani, Francisco J. Salguero-Lamillar, Cristina Barïs-Gïmez, Matthieu Fontaine

Overview

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.

Product Details

ISBN-13:	9783030327217
Publisher:	Springer International Publishing
Publication date:	10/25/2019
Series:	Studies in Applied Philosophy, Epistemology and Rational Ethics , #49
Edition description:	1st ed. 2019
Pages:	502
Product dimensions:	6.10(w) x 9.25(h) x (d)