Knowledge Representation Techniques A Rough Set Approach /

The basis for the material in this book centers around a long term research project with autonomous unmanned aerial vehicle systems. One of the main research topics in the project is knowledge representation and reasoning. The focus of the research has been on the development of tractable combinatio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Doherty, Patrick (Autor), Lukaszewicz, Witold (Autor), Szalas, Andrzej (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Studies in Fuzziness and Soft Computing, 202
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Engineering.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Technology and Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • and Preliminaries
  • Basic Notions
  • Rough Sets
  • Relational and Deductive Databases
  • Non-Monotonic Reasoning
  • From Relations to Knowledge Representation
  • Rough Knowledge Databases
  • Combining Rough and Crisp Knowledge
  • Weakest Sufficient and Strongest Necessary Conditions
  • CAKE: Computer Aided Knowledge Engineering
  • Formalization of Default Logic Using CAKE
  • A UAV Scenario: A Case Study
  • From Sensors to Relations
  • Information Granules
  • Tolerance Spaces
  • A Rough Set Approach to Machine Learning
  • UAV Learning Process: A Case Study.

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