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Partiality, modality, and nonmonotonicity
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ISBN: 1575860317 1575860309 Year: 1996 Publisher: Stanford (Calif.) : CSLI,

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Book
Proceedings, tenth international conference on principles of knowledge representation and reasoning (KR).
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Year: 2006 Publisher: Menlo Park AAAI

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Knowledge representation techniques : a rough set approach
Authors: --- --- ---
ISBN: 9783540335184 3540335188 9786610937028 1280937025 3540335196 Year: 2006 Publisher: Berlin, Germany ; New York, New York : Springer,

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Abstract

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.

Keywords

Knowledge representation (Information theory) --- Rough sets. --- Représentation des connaissances --- Ensembles approximatifs --- Knowledge representation (Information theory). --- Rough sets --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Applied Mathematics --- Computer Science --- Civil Engineering --- Rough set theory --- Theory of rough sets --- Representation of knowledge (Information theory) --- Computer science. --- Artificial intelligence. --- Engineering. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Appl.Mathematics/Computational Methods of Engineering. --- Engineering, general. --- Set theory --- Artificial intelligence --- Information theory --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Construction --- Industrial arts --- Technology --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Knowledge Representation (Information Theory) --- Philosophy


Digital
Knowledge Representation Techniques : A Rough Set Approach
Authors: --- --- ---
ISBN: 9783540335191 Year: 2006 Publisher: Berlin, Heidelberg Springer

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Dissertation
NML3 : a non-monotonic formalism with explicit defaults
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ISBN: 9178708168 Year: 1991 Publisher: Linköping Linköping university. Department of computer and information science

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Book
Knowledge Representation Techniques : A Rough Set Approach
Authors: --- --- --- ---
ISBN: 9783540335191 Year: 2006 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

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Abstract

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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