Knowledge Representation Techniques : A Rough Set Approach

Patrick Doherty

ISBN 10: 3540335188 / ISBN 13: 9783540335184

Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2006

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Druck auf Anfrage Neuware - Printed after ordering - 1. 1 Background The basis for the material in this book centers around research done in an ongoing long-term project which focuses on the development of highly au- 1 tonomousunmannedaerialvehiclesystems. Theactualplatformwhichserves as a case study for the research in this book will be described in detail later in this chapter. Before doing that, a brief background of the motivations - hind this research will be provided. One of the main research topics in the project is knowledge representation and reasoning and its use in Uav pl- forms. A very strong constraint has been placed on the nature of research done in the project where theoretical results, to the greatest extent possible, should serve as a basis for tractable reasoning mechanisms for use in a fully deployed autonomous Uav operating under soft real-time constraints asso- ated with the types of mission scenarios envisioned. Considering that much of the work with knowledge representation in this context focuses on application domains where one can only hope for an incomplete characterization of such domains, this methodological constraint has proven to be quite challenging since, in essence, the focus is on tractable approximate and nonmonotonic reasoning systems. As is well known, until recently, nonmonotonic formalisms have had a notorious reputation for lack of tractable and scalable reasoning systems.

Codice articolo 9783540335184

Dati bibliografici

• Titolo: Knowledge Representation Techniques : A Rough Set Approach
• Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540335188
• ISBN 13: 9783540335184
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 235 L x 165 A x 27 P (millimetri) 235 millimetri di larghezza per 165 millimetri di altezza per 27 millimetri di profondità
• Peso: 1054 grammi

Descrizione articolo

Riassunto

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.

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.