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Knowledge Representation Techniques

A Rough Set Approach

Gebonden Engels 2006 2006e druk 9783540335184
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783540335184
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:334
Uitgever:Springer Berlin Heidelberg
Druk:2006

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Inhoudsopgave

and Preliminaries.- Basic Notions.- Rough Sets.- Relational and Deductive Databases.- Non-Monotonic Reasoning.- From Relations to Knowledge Representation.- Rough Knowledge Databases.- Combining Rough and Crisp Knowledge.- Weakest Sufficient and Strongest Necessary Conditions.- CAKE: Computer Aided Knowledge Engineering.- Formalization of Default Logic Using CAKE.- A UAV Scenario: A Case Study.- From Sensors to Relations.- Information Granules.- Tolerance Spaces.- A Rough Set Approach to Machine Learning.- UAV Learning Process: A Case Study.

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        Knowledge Representation Techniques