
Knowledge Representation and Reasoning Under Uncertainty: Logic at Work - Paperback
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Availability:In StockContributor:Michael Masuch, Laszlo PolosSeries:Lecture Notes in Computer SciencePublish date:6/28/1994Pages:242
Languages:EnglishPublisher:SpringerISBN-13:9783540580959ISBN-10:3540580956UPC:9783540580959Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Logic, Computer ScienceBook Topic:Expert SystemsSize:9.21 x 6.14 x 0.53 inchesWeight:0.359Product ID:SCVP937P44
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.
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.
Languages:EnglishPublisher:SpringerISBN-13:9783540580959ISBN-10:3540580956UPC:9783540580959Book Category:Computers, MathematicsBook Subcategory:Artificial Intelligence, Logic, Computer ScienceBook Topic:Expert SystemsSize:9.21 x 6.14 x 0.53 inchesWeight:0.359Product ID:SCVP937P44
Publisher: Springer
Edition
1994 Edition
Contributor(s)
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