Articles liés à UNCERTAINTY IN AI: A JOURNEY THROUGH POSSIBLE WORLDS
Synopsis
Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it examines the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students looking to understand the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply these tools in practice while requiring only foundation-level mathematics — as taught in the first year of most science and engineering undergraduate programmes.
This book is based on material from "Uncertainty Modelling for Intelligent Systems", a course taught to third- and fourth-year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, these pages map the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Résultats de recherche pour UNCERTAINTY IN AI: A JOURNEY THROUGH POSSIBLE WORLDS
Image fournie par le vendeur
UNCERTAINTY IN AI: A JOURNEY THROUGH POSSIBLE WORLDS
Edité par
World Scientific Europe Ltd, GB, 2026
ISBN 10 : 1800618832
ISBN 13 : 9781800618831
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it examines the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students looking to understand the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply these tools in practice while requiring only foundation-level mathematics - as taught in the first year of most science and engineering undergraduate programmes.This book is based on material from "Uncertainty Modelling for Intelligent Systems", a course taught to third- and fourth-year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, these pages map the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application. N° de réf. du vendeur LU-9781800618831
Acheter neuf
EUR 57,23
Livraison gratuite
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Uncertainty In Ai: A Journey Through Possible Worlds
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CX-9781800618831
Acheter neuf
EUR 59,74
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 15 disponible(s)
Image d'archives
Uncertainty In Ai: A Journey Through Possible Worlds
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur CX-9781800618831
Acheter neuf
EUR 55,83
Expédition à EUR 4,99
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 15 disponible(s)
Image d'archives
Uncertainty In Ai: A Journey Through Possible Worlds
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9781800618831
Acheter neuf
EUR 59,17
Expédition à EUR 2,69
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
UNCERTAINTY IN AI: A JOURNEY THROUGH POSSIBLE WORLDS (Paperback)
Edité par
World Scientific Europe Ltd, London, 2026
ISBN 10 : 1800618832
ISBN 13 : 9781800618831
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it examines the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students looking to understand the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply these tools in practice while requiring only foundation-level mathematics as taught in the first year of most science and engineering undergraduate programmes.This book is based on material from "Uncertainty Modelling for Intelligent Systems", a course taught to third- and fourth-year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, these pages map the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781800618831
Acheter neuf
EUR 72,97
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
UNCERTAINTY IN AI
Vendeur : KALAMO BOOKS, Burriana, CS, Espagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur KALAMO-9781800618831
Acheter neuf
EUR 55,55
Expédition à EUR 19,86
Expédition depuis Espagne vers Etats-Unis
Expédition depuis Espagne vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Uncertainty in AI: A Journey Through Possible Worlds
Edité par
World Scientific Europe Ltd, 2026
ISBN 10 : 1800618832
ISBN 13 : 9781800618831
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 332 pages. 6.00x0.63x9.00 inches. In Stock. N° de réf. du vendeur x-1800618832
Acheter neuf
EUR 71,78
Expédition à EUR 11,99
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
UNCERTAINTY IN AI : A JOURNEY THROUGH POSSIBLE WORLDS
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it examines the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students looking to understand the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply these tools in practice while requiring only foundation-level mathematics - as taught in the first year of most science and engineering undergraduate programmes.This book is based on material from 'Uncertainty Modelling for Intelligent Systems', a course taught to third- and fourth-year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, these pages map the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application. N° de réf. du vendeur 9781800618831
Acheter neuf
EUR 75,69
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image d'archives
Uncertainty In Ai: A Journey Through Possible Worlds (Paperback)
Edité par
World Scientific Europe Ltd, London, 2026
ISBN 10 : 1800618832
ISBN 13 : 9781800618831
Neuf
Paperback
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it explores the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students wanting a sense of the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply them in practice while requiring only foundation level mathematics as taught in the first year of most science and engineering undergraduate programmes.This book is based on material from 'Uncertainty Modelling for Intelligent Systems', a course taught to 3rd and 4th year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, this book maps the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781800618831
Acheter neuf
EUR 68,50
Expédition à EUR 44,35
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
UNCERTAINTY IN AI: A JOURNEY THROUGH POSSIBLE WORLDS
Edité par
World Scientific Europe Ltd, GB, 2026
ISBN 10 : 1800618832
ISBN 13 : 9781800618831
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. Uncertainty in AI explores different theories of uncertainty as studied in the context of artificial intelligence. By adopting a common representation framework based on sets of possible worlds, it examines the relationships between different theories of uncertainty, taking note of the different properties that they satisfy, their expressiveness, and their computational complexity. It distinguishes between uncertainty about the true state of the world, ignorance about the correct level of uncertainty, and fuzziness in the propositions being evaluated. Concepts are introduced using simple illustrative examples, prioritising intuitive understanding before reviewing key mathematical results. This makes it ideal for undergraduate students looking to understand the strengths and weaknesses of different uncertainty formalisms, providing them with sufficient technical detail to begin to apply these tools in practice while requiring only foundation-level mathematics - as taught in the first year of most science and engineering undergraduate programmes.This book is based on material from "Uncertainty Modelling for Intelligent Systems", a course taught to third- and fourth-year undergraduate engineers and computer scientists at the University of Bristol for more than a decade. Instead of promoting a particular approach to or philosophy of uncertainty, these pages map the landscape of uncertainty theories, explicitly highlighting the connections and relationships between them that often remain implicit. It provides students with a broad overview, allowing them to better assess which uncertainty formalisms are most appropriate within the context of a particular application. N° de réf. du vendeur LU-9781800618831
Acheter neuf
EUR 55,60
Expédition à EUR 77,91
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles