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Graph Structures for Knowledge Representation and Reasoning
. Ed(S): Croitoru, Madalina; Rudolph, Sebastian; Woltran, Stefan; Gonzales, Christopher
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Description for Graph Structures for Knowledge Representation and Reasoning
Paperback. Editor(s): Croitoru, Madalina; Rudolph, Sebastian; Woltran, Stefan; Gonzales, Christopher. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 221 pages, black & white illustrations. BIC Classification: PBD; UYA; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 349.
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2013, held in Beijing, China, in August 2013, associated with IJCAI 2013, the 23rd International Joint Conference on Artificial Intelligence. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning techniques. They address the following topics: representations of constraint satisfaction problems; formal concept analysis; conceptual graphs; and argumentation frameworks.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
221
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
211
Place of Publication
Cham, Switzerland
ISBN
9783319045337
SKU
V9783319045337
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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