Knowledge Representation Techniques

A Rough Set Approach

  • Patrick Doherty
  • Witold Łukaszewicz
  • Andrzej Skowron
  • Andrzej Szałas

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 202)

Table of contents

  1. Front Matter
    Pages I-VI
  2. Introduction and Preliminaries

    1. Front Matter
      Pages I-VI
    2. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 3-16
    3. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 17-38
    4. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 39-56
    5. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 57-76
    6. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 77-99
  3. From Relations to Knowledge Representation

    1. Front Matter
      Pages I-VI
    2. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 103-127
    3. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 129-142
    4. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 143-158
    5. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 159-179
    6. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 181-212
    7. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 213-226
  4. From Sensors to Relations

    1. Front Matter
      Pages I-VI
    2. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 229-243
    3. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 245-276
    4. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 277-309
    5. Patrick Doherty, Witold Łukaszewicz, Andrzej Skowron, Andrzej Szałas
      Pages 311-320
  5. Back Matter
    Pages 321-342

About this book

Introduction

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

CAKE: Computer Aided Knowledge Engineering Knowledge Representation Rough Knowledge Databases Sensor Software autonom databases development knowledge engineering learning logic machine learning nonmonotonic reasoning software agent unmanned aerial vehicle

Authors and affiliations

  • Patrick Doherty
    • 1
  • Witold Łukaszewicz
    • 2
  • Andrzej Skowron
    • 3
  • Andrzej Szałas
    • 4
    • 5
  1. 1.Department of Computer and Information ScienceLinköping UniversitySweden
  2. 2.The University of Economics and Computer ScienceOlsztynPoland
  3. 3.Institute of MathematicsWarsaw UniversityWarsawPoland
  4. 4.The University of Economics and Computer ScienceOlsztynPoland
  5. 5.Department of Computer and Information ScienceLinköping UniversitySweden

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-33519-6
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-33518-4
  • Online ISBN 978-3-540-33519-1
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book