Knowledge Representation Techniques A Rough Set Approach /

• Main Authors: Doherty, Patrick (Author), Łukaszewicz, Witold (Author), Skowron, Andrzej (Author), Szałas, Andrzej (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Series: Studies in Fuzziness and Soft Computing, 202
• Subjects: Computer science.; Artificial intelligence.; Engineering.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.; Engineering, general.

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...

Table of Contents:

• 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.