Knowledge Representation Techniques: A Rough Set Approach: 202 (Studies in Fuzziness and Soft Computing, 202) - Tapa dura

Doherty, Patrick; Lukaszewicz, Witold; Szalas, Andrzej

 
9783540335184: Knowledge Representation Techniques: A Rough Set Approach: 202 (Studies in Fuzziness and Soft Computing, 202)

Sinopsis

This book contains a cohesive, self-contained collection of theoretical and applied research results that have been achieved in this project which pertain to nonmonotonic and approximate easoning 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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De la contraportada

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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Otras ediciones populares con el mismo título

9783642070129: Knowledge Representation Techniques: A Rough Set Approach: 202 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3642070124 ISBN 13:  9783642070129
Editorial: Springer, 2010
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