KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings
The 33rd Annual German Conference on Artificial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic Systems.” In this volume you will find the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted workshops—seventhis year—andone tutorial. The workshopand tutorialma- rials are not contained in this volume, but the conference website, www.ki2010.kit.edu,will provide information and references to their contents. Recent trends in AI research have been focusing on anthropomatic systems, which address synergies between humans and intelligent machines. This trend is emphasized through the topics of the overall conference program. They include learning systems, cognition, robotics, perception and action, knowledge rep- sentation and reasoning, and planning and decision making. Many topics deal with uncertainty in various scenarios and incompleteness of knowledge. Summarizing, KI 2010 provides a cross section of recent research in modern AI methods and anthropomatic system applications. We are very grateful that Jos´ edel Mill´ an, Hans-Hellmut Nagel, Carl Edward Rasmussen, and David Vernon accepted our invitation to give a talk.
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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings
The 33rd Annual German Conference on Artificial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic Systems.” In this volume you will find the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted workshops—seventhis year—andone tutorial. The workshopand tutorialma- rials are not contained in this volume, but the conference website, www.ki2010.kit.edu,will provide information and references to their contents. Recent trends in AI research have been focusing on anthropomatic systems, which address synergies between humans and intelligent machines. This trend is emphasized through the topics of the overall conference program. They include learning systems, cognition, robotics, perception and action, knowledge rep- sentation and reasoning, and planning and decision making. Many topics deal with uncertainty in various scenarios and incompleteness of knowledge. Summarizing, KI 2010 provides a cross section of recent research in modern AI methods and anthropomatic system applications. We are very grateful that Jos´ edel Mill´ an, Hans-Hellmut Nagel, Carl Edward Rasmussen, and David Vernon accepted our invitation to give a talk.
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KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings

KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings

KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings

KI 2010: Advances in Artificial Intelligence: 33rd Annual German Conference on AI, Karlsruhe, Germany, September 21-24, 2010, Proceedings

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Overview

The 33rd Annual German Conference on Artificial Intelligence (KI 2010) took place at the Karlsruhe Institute of Technology KIT, September 21–24, 2010, under the motto “Anthropomatic Systems.” In this volume you will find the keynote paper and 49 papers of oral and poster presentations. The papers were selected from 73 submissions, resulting in an acceptance rate of 67%. As usual at the KI conferences, two entire days were allocated for targeted workshops—seventhis year—andone tutorial. The workshopand tutorialma- rials are not contained in this volume, but the conference website, www.ki2010.kit.edu,will provide information and references to their contents. Recent trends in AI research have been focusing on anthropomatic systems, which address synergies between humans and intelligent machines. This trend is emphasized through the topics of the overall conference program. They include learning systems, cognition, robotics, perception and action, knowledge rep- sentation and reasoning, and planning and decision making. Many topics deal with uncertainty in various scenarios and incompleteness of knowledge. Summarizing, KI 2010 provides a cross section of recent research in modern AI methods and anthropomatic system applications. We are very grateful that Jos´ edel Mill´ an, Hans-Hellmut Nagel, Carl Edward Rasmussen, and David Vernon accepted our invitation to give a talk.

Product Details

ISBN-13: 9783642161100
Publisher: Springer Berlin Heidelberg
Publication date: 11/04/2010
Series: Lecture Notes in Computer Science , #6359
Edition description: 2010
Pages: 446
Product dimensions: 6.10(w) x 9.20(h) x 0.70(d)

Table of Contents

Cognition

Vision, Logic, and Language - Toward Analyzable Encompassing Systems Hans-Hellmut Nagel 1

A Computational Model of Human Movement Coordination Thorsten Stein Christian Simonidis Wolfgang Seemann Hermann Schwameder 23

BiosignalsStudio: A Flexible Framework for Biosignal Capturing and Processing Dominic Heger Felix Putze Christoph Amma Michael Wand Igor Plotkin Thomas Wielatt Tanja Schultz 33

Local Adaptive Extraction of References Peter Kluegl Andreas Hotho Frank Puppe 40

Logic-Based Trajectory Evaluation in Videos Nicola Pirlo Hans-Hellmut Nagel 48

Human-Machine Interaction

A Testbed for Adaptive Human-Robot Collaboration Alexandra Kirsch Yuxiang Chen 58

Human Head Pose Estimation using Multi-Appearance Features Norbert Schmitz Gregor Zolynski Karsten Berns 66

Online Full Body Human Motion Tracking Based on Dense Volumetric 3D Reconstructions from Multi Camera Setups Tobias Feldmann Ioannis Mihailidis Sebastian Schulz Dietrich Paulus Annika Wörner 74

On-line Handwriting Recognition with Parallelized Machine Learning Algorithms Sebastian Bothe Thomas Gärtner Stefan Wrobel 82

Planning Cooperative Motions of Cognitive Automobiles Using Tree Search Algorithms Christian Frese Jürgen Beyerer 91

Static Preference Models for Options with Dynamic Extent Thomas Bauereiß Stefan Mandl Bernd Ludwig 99

Towards User Assistance for Documents via Interactional Semantic Technology Andrea Kohlhase 107

Knowledge

Flexible Concept-Based Argumentation in Dynamic Scenes Jörn Sprado Björn Gottfried Otthein Herzog 116

Focused Belief Revision as a Model of Fallible Relevance-Sensitive Perception Haythem O. Ismail Nasr Kasrin 126

Multi-context Systems with Activation Rules Stefan Mandl Bernd Ludwig 135

Pellet-HeaRT- Proposal of an Architecture for Ontology Systems with Rules Grzegorz J. Nalepa Weronika T. Furmanska 143

Putting People's Common Sense into Knowledge Bases of Household Robots Lars Kunze Moritz Tenorth Michael Beetz 151

Recognition and Visualization of Music Sequences Using Self-Organizing Feature Maps Tobias Hein Oliver Kramer 160

Searching for Locomotion Patterns that Suffer from Imprecise Details Björn Gottfried 168

World Modeling for Autonomous Systems Ioana Gheta Michael Heizmann Andrey Belkin Jürgen Beyerer 176

Machine Learning and Data Mining

A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs Oliver Niggemann Volker Lohweg Tim Tack 184

Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations Andreas Thom Oliver Kramer 195

Adaptive ε-greedy Exploration in Reinforcement Learning Based on Value Differences Michel Tokic 203

Learning the Importance of Latent Topics to Discover Highly Influential News Items Ralf Krestel Bhaskar Mehta 211

Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos Rüdiger Alshut Jessica Legradi Urban Liebel Lixin Yang Jos van Wezel Uwe Strähle Ralf Mikut Markus Reischl 219

Visualizing Dissimilarity Data Using Generative Topographic Mapping Andrej Gisbrecht Bassam Mokbel Alexander Hasenfuss Barbara Hammer 227

Planing and Reasoning

An Empirical Comparison of Some Multiobjective Graph Search Algorithms Enrique Machuca Lorenzo Mandow Jose L. Pérez de la Cruz Amparo Ruiz-Sepúlveda 238

Completeness for Generalized First-Order LTL Norihiro Kamide 246

Instantiating General Games Using Prolog or Dependency Graphs Peter Kissmann Stefan Edelkamp 255

Plan Assessment for Autonomous Manufacturing as Bayesian Inference Paul Maier Dominik Jain Stefan Waldherr Martin Sachenbacher 263

Positions, Regions, and Clusters: Strata of Granularity in Location Modelling Hedda R. Schmidtke Michael Beigl 272

Soft Evidential Update via Markov Chain Monte Carlo Inference Dominik Jain Michael Beetz 280

Strongly Solving Fox-and-Geese on Multi-Core CPU Stefan Edelkamp Hartmut Messerschmidt 291

The Importance of Statistical Evidence for Focussed Bayesian Fusion Jennifer Sander Jonas Krieger Jürgen Beyerer 299

The Shortest Path Problem Revisited: Optimal Routing for Electric Vehicles Andreas Artmeier Julian Haselmayr Martin Leucker Martin Sachenbacher 309

Robotics

A Systematic Testing Approach for Autonomous Mobile Robots Using Domain-Specific Languages Martin Proetzsch Fabian Zimmermann Robert Eschbach Johannes Kloos Karsten Berns 317

Collision Free Path Planning for Intrinsic Safety of Multi-fingered SDH-2 Thomas Haase Heinz Wörn 325

Dynamic Bayesian Networks for Learning Interactions between Assistive Robotic Walker and Human Users Mitesh Patel Jaime Valls Miro Gamini Dissanayake 333

From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM Niko Sünderhauf Peter Protzel 341

Haptic Object Exploration Using Attention Cubes Nicolas Gorges Peter Fritz Heinz Wörn 349

Task Planning for an Autonomous Service Robot Thomas Keller Patrick Eyerich Bernhard Nebel 358

Towards Automatic Manipulation Action Planning for Service Robots Steffen W. Ruehl Zhixing Xue Thilo Kerscher Rüdiger Dillmann 366

Towards Opportunistic Action Selection in Human-Robot Cooperation Thibault Kruse Alexandra Kirsch 374

Trajectory Generation and Control for a High-DOF Articulated Robot with Dynamic Constraints Marc Spirig Ralf Kaestner Dizan Vasquez Roland Siegwart 382

Adaptive Motion Control: Dynamic Kick for a Humanoid Robot Yuan Xu Heinrich Mellmann 392

Special Session: Situation, Intention and Action Recognition

An Extensible Modular Recognition Concept That Makes Activity Recognition Practical Martin Berchtold Matthias Budde Hedda R. Schmidtke Michael Beigl 400

Online Workload Recognition from EEG Data During Cognitive Tests and Human-Machine Interaction Dominic Heger Felix Putze Tanja Schultz 410

Situation-Specific Intention Recognition for Human-Robot Cooperation Peter Krauthausen Uwe D. Hanebeck 418

Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic Joris Ijsselmuiden Rainer Stiefelhagen 426

Towards Semantic Segmentation of Human Motion Sequences Dirk Gehrig Thorsten Stein Andreas Fischer Hermann Schwameder Tanja Schultz 436

Author Index 445

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