Automated Model Building
Caferra, Ricardo; Leitsch, Alexander; Peltier, Nicolas
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Description for Automated Model Building
Paperback. Series: Applied Logic Series. Num Pages: 341 pages, biography. BIC Classification: PBCD; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 551.
On the history of the book: In the early 1990s several new methods and perspectives in au- mated deduction emerged. We just mention the superposition calculus, meta-term inference and schematization, deductive decision procedures, and automated model building. It was this last ?eld which brought the authors of this book together. In 1994 they met at the Conference on Automated Deduction (CADE-12) in Nancy and agreed upon the general point of view, that semantics and, in particular, construction of models should play a central role in the ?eld of automated deduction. In the following years the deduction groups of the laboratory ... Read more
On the history of the book: In the early 1990s several new methods and perspectives in au- mated deduction emerged. We just mention the superposition calculus, meta-term inference and schematization, deductive decision procedures, and automated model building. It was this last ?eld which brought the authors of this book together. In 1994 they met at the Conference on Automated Deduction (CADE-12) in Nancy and agreed upon the general point of view, that semantics and, in particular, construction of models should play a central role in the ?eld of automated deduction. In the following years the deduction groups of the laboratory ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer Netherlands
Number of pages
341
Condition
New
Series
Applied Logic Series
Number of Pages
341
Place of Publication
Dordrecht, Netherlands
ISBN
9789048166961
SKU
V9789048166961
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Automated Model Building
"Motivated readers who want to learn more about automated model building [...] are strongly encouraged to read thid book. [...] The area is new, there are many interesting open problems and potential improvements. Because of this newness, motivated readers have a unique opportunity not only to learn interesting ideas but also, hopefully, to meaningfully contribute to this area." (Vladik Kreinovich, ... Read more