Toward Robots That Reason: Logic, Probability & Causal Laws (Synthesis Lectures on Artificial Intelligence and Machine Learning) - Hardcover

Belle, Vaishak

 
9783031210020: Toward Robots That Reason: Logic, Probability & Causal Laws (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Hardcover
ISBN 10: 3031210026 ISBN 13: 9783031210020
Verlag: Springer-Verlag GmbH, 2023

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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. 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer-Verlag GmbH
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
3031210026
ISBN 13 
9783031210020
Einband
Tapa dura
Anzahl der Seiten
203
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Tiergartenstr. 17
Heidelberg
69121
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783031210051: Toward Robots That Reason: Logic, Probability & Causal Laws (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Vorgestellte Ausgabe

ISBN 10:  3031210050 ISBN 13:  9783031210051
Verlag: Springer, 2024
Softcover