Automated Model Building: 31 (Applied Logic Series, 31) - Hardcover

Caferra, Ricardo; Leitsch, Alexander; Peltier, Nicolas

Hardcover

ISBN 10: 1402026528 ISBN 13: 9781402026522

Publisher: Springer, 2004

Synopsis

Automated Model Building Provides information on automated model building, a discipline of automated deduction that is of growing importance. This book also provides an historical overview of the field of automated deduction, and presents the foundations of different existing approaches to model construction. It presents finite and infinite model building techniques.

About this title

Review:

"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, The Review of Modern Logic 10:3-4, issue 32, 2005-2007)

Synopsis:

This is the first book on automated model building, a discipline of automated deduction that is of growing importance. Although models and their construction are important per se, automated model building has appeared as a natural enrichment of automated deduction, especially in the attempt to capture the human way of reasoning. The book provides an historical overview of the field of automated deduction, and presents the foundations of different existing approaches to model construction, in particular those developed by the authors. Finite and infinite model building techniques are presented. The main emphasis is on calculi-based methods, and relevant practical results are provided. The book is of interest to researchers and graduate students in computer science, computational logic and artificial intelligence. It can also be used as a textbook in advanced undergraduate courses.

About this edition

• Publisher: Springer
• Publication date: 2004
• ISBN 10: 1402026528
• ISBN 13: 9781402026522
• Binding: Hardcover
• Number of pages: 352