Toward Robots That Reason: Logic, Probabil...

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Beschreibung

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 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.

Inhaltsverzeichnis

Preface.- Acknowledgments.- Introduction.- Representation Matters.- From Predicate Calculus to the Situation Calculus.- Knowledge.- Probabilistic Beliefs.- Continuous Distributions.- Localization.- Regression & Progression.- Programs.- A Modal Reconstruction.- Conclusions.

Details

Erscheinungsjahr:	2024
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Synthesis Lectures on Artificial Intelligence and Machine Learning
Inhalt:	xiii 190 S. 13 s/w Illustr. 14 farbige Illustr. 190 p. 27 illus. 14 illus. in color.
ISBN-13:	9783031210051
ISBN-10:	3031210050
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Belle, Vaishak
Hersteller:	Springer International Publishing Springer International Publishing AG Synthesis Lectures on Artificial Intelligence and Machine Learning
Maße:	240 x 168 x 12 mm
Von/Mit:	Vaishak Belle
Erscheinungsdatum:	22.02.2024
Gewicht:	0,352 kg

Artikel-ID: 128414196

Über den Autor

Inhaltsverzeichnis

Details

Erscheinungsjahr:	2024
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Synthesis Lectures on Artificial Intelligence and Machine Learning
Inhalt:	xiii 190 S. 13 s/w Illustr. 14 farbige Illustr. 190 p. 27 illus. 14 illus. in color.
ISBN-13:	9783031210051
ISBN-10:	3031210050
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Belle, Vaishak
Hersteller:	Springer International Publishing Springer International Publishing AG Synthesis Lectures on Artificial Intelligence and Machine Learning
Maße:	240 x 168 x 12 mm
Von/Mit:	Vaishak Belle
Erscheinungsdatum:	22.02.2024
Gewicht:	0,352 kg