KI 2009: Advances in Artificial Intelligence

32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009. Proceedings

  • Bärbel Mertsching
  • Marcus Hund
  • Zaheer Aziz

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5803)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5803)

Table of contents

  1. Front Matter
  2. Planning and Scheduling

    1. Christoph Betz, Malte Helmert
      Pages 9-16
    2. Bernd Schattenberg, Julien Bidot, Sascha Geßler, Susanne Biundo
      Pages 17-24
    3. Martin Dietzfelbinger, Stefan Edelkamp
      Pages 33-40
    4. Ronny Hartanto, Joachim Hertzberg
      Pages 41-48
    5. A. Cesta, A. Finzi, S. Fratini, A. Orlandini, E. Tronci
      Pages 49-56
    6. Immanuel Schweizer, Kamill Panitzek, Sang-Hyeun Park, Johannes Fürnkranz
      Pages 65-72
  3. Vision and Perception

    1. Eckart Michaelsen, Michael Arens, Leo Doktorski
      Pages 73-80
    2. Nils Petersen, Didier Stricker
      Pages 106-113
    3. Heinz-Werner Priess, Ingrid Scharlau
      Pages 123-127
    4. Michael Müller, Dennis Senftleben, Josef Pauli
      Pages 128-135
  4. Machine Learning and Data Mining

    1. Vera Hollink, Maarten van Someren, Viktor de Boer
      Pages 136-143
    2. Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg
      Pages 144-152

About these proceedings

Introduction

This book constitutes the thoroughly refereed proceedings of the 32nd Annual German Conference on Artificial Intelligence, KI 2009, held in Paderborn, Germany, in September 2009.

The 76 revised full papers presented together with 15 posters were carefully reviewed and selected from 126 submissions. The papers are divided in topical sections on planning and scheduling; vision and perception; machine learning and data mining; evolutionary computing; natural language processing; knowledge representation and reasoning; cognition; history and philosophical foundations;  AI and engineering; automated reasoning; spatial and temporal reasoning; agents and intelligent virtual environments; experience adn knowledge management; and robotics.

Keywords

agents artificial intelligence automated reasoning cognition data mining evolution evolutionary computation knowledge knowledge representation learning machine learning robot robotics

Editors and affiliations

  • Bärbel Mertsching
    • 1
  • Marcus Hund
    • 1
  • Zaheer Aziz
    • 1
  1. 1.GET LabUniversity of PaderbornPaderbornGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-04617-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-04616-2
  • Online ISBN 978-3-642-04617-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book