Model-Based Reasoning in Science and Technology: Abduction, Logic, and Computational Discovery (Studies in Computational Intelligence)

Magnani, Lorenzo (Editor) / Pizzi, Claudio (Editor) / Carnielli, Walter (Editor)

ISBN 10: 3642264670 / ISBN 13: 9783642264672

Edité par Springer, 2012

A propos de cet article

2010 edition. 684 pages. 9.25x6.10x1.55 inches. In Stock.

N° de réf. du vendeur x-3642264670

Détails bibliographiques

• Titre: Model-Based Reasoning in Science and Technology: Abduction, Logic, and Computational Discovery (Studies in Computational Intelligence)
• Éditeur: Springer
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 3642264670
• ISBN à 13 chiffres: 9783642264672
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

Systematically presented to enhance the feasibility of fuzzy models, this book introduces the novel concept of a fuzzy network whose nodes are rule bases and their interconnections are interactions between rule bases in the form of outputs fed as inputs.

Présentation de l'éditeur

The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and Technology (MBR09_BRAZIL), held at the University of Campinas (UNICAMP), Campinas, Brazil, December 2009. The presentations given at the conference explored how scientific cognition, but several other kinds as well, use models, abduction, and explanatory reasoning to produce important or creative changes in theories and concepts. Some speakers addressed the problem of model-based reasoning in technology, and stressed the issue of science and technological innovation. The various contributions of the book are written by interdisciplinary researchers who are active in the area of creative reasoning in logic, science, and technology: the most recent results and achievements about the topics above are illustrated in detail in the papers. The book is divided in three parts, which cover the following main areas: part I, abduction, problem solving, and practical reasoning; part II: formal and computational aspects of model based reasoning; part III, models, mental models, representations.