Knowledge Representation Techniques: A Rough Set Approach

Knowledge Representation Techniques: A Rough Set Approach

by Patrick Doherty, Witold Lukaszewicz, Andrzej Szalas
     
 

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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

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Overview

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.

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Editorial Reviews

From the Publisher

From the reviews:

"Knowledge representation is one of the most important elements of Artificial Intelligence, representing the study of how knowledge about the world can be represented and what kinds of reasoning can be done with that knowledge. The book contains three parts and is founded on the concept of rough sets. … This book is recommended to researchers interested in studying and applying rough set theory in various domains." (Ion Iancu, Zentralblatt MATH, Vol. 1131 (9), 2008)

Product Details

ISBN-13:
9783642070129
Publisher:
Springer Berlin Heidelberg
Publication date:
11/23/2010
Series:
Studies in Fuzziness and Soft Computing Series, #202
Edition description:
Softcover reprint of hardcover 1st ed. 2006
Pages:
334
Product dimensions:
0.73(w) x 6.14(h) x 9.21(d)

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