Knowledge Representation Techniques: A Rough Set Approach: 202 - Rilegato

Doherty, Patrick; Lukaszewicz, Witold; Skowron, Andrzej; Szalas, Andrzej

 
9783540335184: Knowledge Representation Techniques: A Rough Set Approach: 202

Sinossi

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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Dalla quarta di copertina

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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Altre edizioni note dello stesso titolo

9783642070129: Knowledge Representation Techniques: A Rough Set Approach: 202

Edizione in evidenza

ISBN 10:  3642070124 ISBN 13:  9783642070129
Casa editrice: Springer, 2010
Brossura