Téléchargez le livre : Perspectives on Logics for Data-driven Reasoning

Perspectives on Logics for Data-driven Reasoning

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Éditeur :

Springer


Collection :

Logic, Argumentation & Reasoning

Paru le : 2025-01-21

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Description

This book calls for a rethinking of logic as the core methodological tool for scientific reasoning in the context of a steadily increasing emphasis on data-centered science. To do so it provides a state-of-the-art presentation of the role logic can have in making the most of the current opportunities while making explicit the key challenges opened up by the data-driven age of scientific research.
Particular attention is given to the following four core fields and applications: Reasoning with correlations (medical, life-science applications); logics for statistical inference (machine learning, and societal applications thereof); reasoning with evidence (defining good evidence); causal reasoning (forensic reasoning).
The book collects contributions from key logicians, methodologists and scientists. This multidisciplinary perspective benefits both scientists and logicians interested in data-driven science. Scientists are introduced to logics that go beyond classical and thus are applicable to reasoning with data; Logicians have a change to focus on the potential applications of their methods and techniques to pressing scientific problems. This book is, therefore, of interest to scientists and logicians working on data-centered science.
Pages
207 pages
Collection
Logic, Argumentation & Reasoning
Parution
2025-01-21
Marque
Springer
EAN papier
9783031778919
EAN PDF
9783031778926
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
4311 Ko
Prix
126,59 €
EAN EPUB
9783031778926
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
7260 Ko
Prix
126,59 €

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