We are currently compiling the conference program. In the meantime here is the list of accepted papers:

Full papers:

  • Efficient Auction Based Coordination for Distributed Multi-Agent Planning in Temporal Domains Using Resource Abstraction
    Andreas Hertle and Bernhard Nebel
  • Preference-Based Monte Carlo Tree Search
    Tobias Joppen and Johannes Fürnkranz
  • Sparse Transfer Classification for Text Documents
    Christoph Raab and Frank-Michael Schleif
  • Assembly Planning in Cluttered Environments through Heterogeneous Reasoning
    Daniel Beßler, Mihai Pomarlan, Aliakbar Akbari, Muhayyuddin Gillani, Mohammed Diab, Jan Rosell, John Bateman and Michael Beetz
  • Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm
    Tanya Braun and Ralf Möller
  • Understanding NLP Neural Networks by the Texts They Generate
    Mihai Pomarlan and John Bateman
  • Limited Evaluation Evolutionary Optimization of Large Neural Networks
    Jonas Prellberg and Oliver Kramer
  • A Variant of Monte-Carlo Tree Search for Referring Expression Generation
    Tobias Schwartz and Diedrich Wolter
  • Predict the Individual Reasoner: A New Approach
    Ilir Kola and Marco Ragni
  • Extracting Planning Operators from Instructional Texts for Behaviour Interpretation
    Kristina Yordanova
  • Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence
    Gavin Rens, Abhaya Nayak, Thomas Meyer and Gabriele Kern-Isberner
  • Approximate Probabilistic Parallel Multiset Rewriting using MCMC
    Stefan Lüdtke, Max Schröder and Thomas Kirste
  • Condorcet’s Jury Theorem for Consensus Clustering
    Brijnesh Jain
  • Solver Tuning and Model Configuration
    Michael Barry, Hubert Abgottspon and René Schumann
  • Model Checking for Coalition Announcement Logic
    Rustam Galimullin, Natasha Alechina and Hans van Ditmarsch
  • Bounded-Memory Stream Processing
    Özgür Lütfü Özcep
  • A Sequence-Based Neuronal Model for Mobile Robot Localization
    Peer Neubert, Subutai Ahmad and Peter Protzel
  • Group Envy Freeness and Group Pareto Efficiency in Fair Division with Indivisible Items
    Martin Aleksandrov and Toby Walsh
  • Risk-Sensitivity in Simulation Based Online Planning
    Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomas Gabor, Thomy Phan and Claudia Linnhoff
  • Knowledge Sharing For Population Based Neural Network Training
    Stefan Oehmcke and Oliver Kramer
  • Evolutionary Structure Minimization of Deep Neural Networks for Motion Sensor Data
    Daniel Lückehe, Sonja Veith and Gabriele von Voigt

Short papers:

  • Towards Hypervector Representations for Learning and Planning with Schemas
    Peer Neubert and Peter Protzel
  • Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges
    Ingo J. Timm, Steffen Staab, Michael Siebers, Claudia Schon, Ute Schmid, Kai Sauerwald, Lukas Reuter, Marco Ragni, Claudia Niederée, Heiko Maus, Gabriele Kern-Isberner, Christian Jilek, Paulina Friemann, Thomas Eiter, Andreas Dengel, Hannah Dames, Tanja Bock, Jan Ole Berndt and Christoph Beierle
  • Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm (Poster Presentation)
    Marcel Gehrke, Tanya Braun and Ralf Möller
  • LEARNDIAG: A Direct Diagnosis Algorithm Based On Learned Heuristics (Poster Presentation)
    Seda Polat Erdeniz, Alexander Felfernig and Muesluem Atas
  • Visual Search Target Inference using Bag of Deep Visual Words (Poster Presentation)
    Sven Stauden, Michael Barz and Daniel Sonntag
  • An Implementation and Evaluation of User-centered Requirements for Smart In-House Mobility Services (Poster Presentation)
    Dorothee Rocznik, Klaus Goffart, Manuel Wiesche and Helmut Krcmar
  • Acquiring knowledge of object arrangements from human examples for household robots (Poster Presentation)
    Lisset Salinas Pinacho, Alexander Wich, Fereshta Yazdani and Michael Beetz
  • The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning (Poster Presentation)
    Nicolas Riesterer, Daniel Brand and Marco Ragni
  • Maximizing Expected Impact in an Agent Reputation Network (Poster Presentation)
    Gavin Rens, Abhaya Nayak and Thomas Meyer
  • Kinds and Aspects of Forgetting in Common-Sense Knowledge and Belief Management (Poster Presentation)
    Christoph Beierle, Tanja Bock, Gabriele Kern-Isberner, Marco Ragni and Kai Sauerwald
  • Analysis and Optimization of Deep Counterfactual Value Networks (Poster Presentation)
    Patryk Hopner and Eneldo Mencia
  • Developing a Distributed Drone Delivery System with a Hybrid Behavior Planning System (Poster Presentation)
    Jannik Wolff, Daniel Krakowczyk, Alexandru Ciobanu, Christopher-Eyk Hrabia and Dennis Meyer
  • Acquisition of Terminological Knowledge in Probabilistic Description Logic (Poster Presentation)
    Francesco Kriegel