Uncertainty in Artificial Intelligence: v.1 (Machine Intelligence & Pattern Recognition) - Tapa dura

 
9780444700582: Uncertainty in Artificial Intelligence: v.1 (Machine Intelligence & Pattern Recognition)
Tapa dura
ISBN 10: 0444700587 ISBN 13: 9780444700582
Editorial: Elsevier Science Ltd, 1986

Sinopsis

How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.

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Reseña del editor

How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Elsevier Science Ltd
Año de publicación
1986
Idioma
Inglés
ISBN 10 
0444700587
ISBN 13 
9780444700582
Encuadernación
Tapa dura
Número de páginas
510
Editor
Kanal Laveen N., Lemmer John F.
Contacto del fabricante
no disponible
Persona responsable
no disponible