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Knowledge Representation and Reasoning Under Uncertainty: Logic at Work (Lecture Notes in Computer Science)

Author: Michael Masuch
Author: Laszlo Polos
Binding: Paperback
DeweyDecimalNumber: 006.33
EAN: 9780387580951
ISBN: 0387580956
Label: Springer
Languages:
Name: English
Type: Original Language
Language:
Type: Unknown
Language:
Type: Published
ListPrice:
CurrencyCode: USD
FormattedPrice: $59.95
Manufacturer: Springer
NumberOfItems: 1
NumberOfPages: 237
PackageDimensions:
Length: 910
Weight: 60
Width: 610
ProductGroup: Book
PublicationDate: 1994-08
Publisher: Springer
Studio: Springer
Title: Knowledge Representation and Reasoning Under Uncertainty: Logic at Work (Lecture Notes in Computer Science)
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This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence. Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.
 
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