Téléchargez le livre : Toward Robots That Reason: Logic, Probability & Causal Laws

Toward Robots That Reason: Logic, Probability & Causal Laws



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Springer


Paru le : 2023-02-20



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Description
This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and acquisition of knowledge from observational data, and the reasoning of that knowledge together with whatever information is available about the application at hand. It then presents a mathematical treatment of the core issues that arise when unifying first-order logic and probability, especially in the presence of dynamics, including physical actions, sensing actions and their effects. A model for expressing causal laws describing dynamics is also considered, along with computational ideas for reasoning with such laws over probabilistic logical knowledge.
Pages
190 pages
Collection
n.c
Parution
2023-02-20
Marque
Springer
EAN papier
9783031210020
EAN PDF
9783031210037
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
2386 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
42,19 €
EAN EPUB
9783031210037
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
11131 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
42,19 €
Vaishak Belle, Ph.D., is a Chancellor’s Fellow and Reader at The University of Edinburgh School of Informatics. He is also an Alan Turing Institute Faculty Fellow, a Royal Society University Research Fellow, and a member of the Royal Society of Edinburgh’s Young Academy of Scotland. Dr. Belle directs a research lab on artificial intelligence at The University of Edinburgh, specializing in the unification of symbolic logic and machine learning. He has co-authored over 50 scientific articles on AI, and has won several best paper awards.

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