KI 2011: Advances in Artificial Intelligence

1. Front Matter

   PDF

2. Everything You Always Wanted to Know about Planning

   • Jörg Hoffmann

   Pages 1-13

3. Why We Need Evolutionary Semantics

   • Luc Steels

   Pages 14-25

4. General Game Playing in AI Research and Education

   • Michael Thielscher

   Pages 26-37

5. Conversational Agents in a Virtual World

   • Peter Adolphs, Anton Benz, Núria Bertomeu Castelló, Xiwen Cheng, Tina Klüwer, Manfred Krifka et al.

   Pages 38-49

6. Dependency Graphs as a Generic Interface between Parsers and Relation Extraction Rule Learning

   • Peter Adolphs, Feiyu Xu, Hong Li, Hans Uszkoreit

   Pages 50-62

7. Evaluation and Comparison Criteria for Approaches to Probabilistic Relational Knowledge Representation

   • Christoph Beierle, Marc Finthammer, Gabriele Kern-Isberner, Matthias Thimm

   Pages 63-74

8. Segmentation of Action Streams Human Observers vs. Bayesian Binning

   • Dominik Endres, Andrea Christensen, Lars Omlor, Martin A. Giese

   Pages 75-86

9. Speedy Local Search for Semi-Supervised Regularized Least-Squares

   • Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala

   Pages 87-98

10. Model-Based Object Recognition from 3D Laser Data

    • Martin Günther, Thomas Wiemann, Sven Albrecht, Joachim Hertzberg

    Pages 99-110

11. Swarm Intelligence for Medical Volume Segmentation: The Contribution of Self-reproduction

    • Robert Haase, Hans-Joachim Böhme, Daniel Zips, Nasreddin Abolmaali

    Pages 111-121

12. Efficient Sequential Clamping for Lifted Message Passing

    • Fabian Hadiji, Babak Ahmadi, Kristian Kersting

    Pages 122-133

13. BetterRelations: Using a Game to Rate Linked Data Triples

    • Jörn Hees, Thomas Roth-Berghofer, Ralf Biedert, Benjamin Adrian, Andreas Dengel

    Pages 134-138

14. Generic Performance Metrics for Continuous Activity Recognition

    • Albert Hein, Thomas Kirste

    Pages 139-143

15. Bayesian Logic Networks and the Search for Samples with Backward Simulation and Abstract Constraint Learning

    • Dominik Jain, Klaus von Gleissenthall, Michael Beetz

    Pages 144-156

16. Transformation Rules for First-Order Probabilistic Conditional Logic Yielding Parametric Uniformity

    • Ruth Janning, Christoph Beierle

    Pages 157-168

17. Variance Scaling for EDAs Revisited

    • Oliver Kramer, Fabian Gieseke

    Pages 169-178

18. Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach

    • Jörg Lässig, Benjamin Satzger, Oliver Kramer

    Pages 179-190

19. Compiling AI Engineering Models for Probabilistic Inference

    • Paul Maier, Dominik Jain, Martin Sachenbacher

    Pages 191-203

20. Smooth Conditional Transition Paths in Dynamical Gaussian Networks

    • Michał Matuszak, Jacek Miȩkisz, Tomasz Schreiber

    Pages 204-215

This book constitutes the refereed proceedings of the 34th Annual German Conference on Artificial Intelligence, KI 2011, held in Berlin, Germany, in October 2011. The 32 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 81 submissions. The papers are divided in topical sections on computational learning and datamining, knowledge representation and reasonings, augmented reality, swarm intelligence; and planning and scheduling.

• first-order logic
• knowledge compilation
• object recognition
• reinforcement learning
• semantic mapping

• Berlin School of Mind and Brain, Humboldt-University of Berlin, Berlin, Germany

  Joscha Bach

• TZI-Technologie-Zentrum Informatik und Informationstechnik, University of Bremen, Bremen, Germany

  Stefan Edelkamp

Policies and ethics