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Synopsis
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.
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À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer International Publishing AG
- Date d'édition2023
- ISBN 10 3031210026
- ISBN 13 9783031210020
- ReliureRelié
- Langueanglais
- Nombre de pages190
- Coordonnées du fabricantnon disponible
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Toward Robots That Reason: Logic, Probability & Causal Laws
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 204 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 41491809/1
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Image d'archives
Toward Robots That Reason: Logic, Probability & Causal Laws
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 204 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 41491809/2
Quantité disponible : 1 disponible(s)
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Toward Robots That Reason: Logic, Probability & Causal Laws
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Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 inf. N° de réf. du vendeur 732828435
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Toward Robots That Reason: Logic, Probability & Causal Laws
Edité par
Springer International Publishing, 2023
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783031210020
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Toward Robots That Reason: Logic, Probability & Causal Laws
Edité par
Springer International Publishing Feb 2023, 2023
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 204 pp. Englisch. N° de réf. du vendeur 9783031210020
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Toward Robots That Reason: Logic, Probability & Causal Laws
ISBN 10 : 3031210026
ISBN 13 : 9783031210020
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 204 pp. Englisch. N° de réf. du vendeur 9783031210020
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