Quantcast
Channel: Join eBook, Free eBook Download
Viewing all articles
Browse latest Browse all 3629

Knowledge Representation Techniques: A Rough Set Approach

$
0
0
 Knowledge Representation Techniques: A Rough Set Approach
Patrick Doherty, Witold Lukaszewicz, Andrzej Skowron, “Knowledge Representation Techniques: A Rough Set Approach”
English | ISBN: 3540335188 | edition 2006 | PDF | 342 pages | 3.6 mb

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 combinations of approximate and nonmonotonic reasoning systems. The techniques developed are based on intuitions from rough set theory. Efforts have been made to take theory into practice by instantiating research results in the context of traditional relational database or deductive database systems. This book contains a cohesive, self-contained collection of many of the theoretical and applied research results that have been achieved in this project and for the most part pertain to nonmonotonic and approximate reasoning systems developed for an experimental unmanned aerial vehicle system used in the project. This book should be of interest to the theoretician and applied researcher alike and to autonomous system developers and software agent and intelligent system developers.

Download Links:  Uploaded


Viewing all articles
Browse latest Browse all 3629

Trending Articles