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41st KI 2018: Berlin, Germany
- Frank Trollmann, Anni-Yasmin Turhan:
KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings. Lecture Notes in Computer Science 11117, Springer 2018, ISBN 978-3-030-00110-0
Keynote Talk
- Dietmar Jannach:
Keynote: Session-Based Recommendation - Challenges and Recent Advances. 3-7
Reasoning
- Rustam Galimullin, Natasha Alechina, Hans van Ditmarsch:
Model Checking for Coalition Announcement Logic. 11-23 - Tanya Braun, Ralf Möller:
Fusing First-Order Knowledge Compilation and the Lifted Junction Tree Algorithm. 24-37 - Marcel Gehrke, Tanya Braun, Ralf Möller:
Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm. 38-45 - Francesco Kriegel:
Acquisition of Terminological Knowledge in Probabilistic Description Logic. 46-53
Multi-agent Systems
- Martin Aleksandrov, Toby Walsh:
Group Envy Freeness and Group Pareto Efficiency in Fair Division with Indivisible Items. 57-72 - Stefan Lüdtke, Max Schröder, Thomas Kirste:
Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. 73-85 - Andreas Hertle, Bernhard Nebel:
Efficient Auction Based Coordination for Distributed Multi-agent Planning in Temporal Domains Using Resource Abstraction. 86-98 - Gavin Rens, Abhaya Nayak, Thomas Andreas Meyer:
Maximizing Expected Impact in an Agent Reputation Network. 99-106 - Daniel Krakowczyk, Jannik Wolff, Alexandru Ciobanu, Dennis Julian Meyer, Christopher-Eyk Hrabia:
Developing a Distributed Drone Delivery System with a Hybrid Behavior Planning System. 107-114
Robotics
- Peer Neubert, Subutai Ahmad, Peter Protzel:
A Sequence-Based Neuronal Model for Mobile Robot Localization. 117-130 - Lisset Salinas Pinacho, Alexander Wich, Fereshta Yazdani, Michael Beetz:
Acquiring Knowledge of Object Arrangements from Human Examples for Household Robots. 131-138
Learning
- Michael Barry, Hubert Abgottspon, René Schumann:
Solver Tuning and Model Configuration. 141-154 - Brijnesh J. Jain:
Condorcet's Jury Theorem for Consensus Clustering. 155-168 - Christoph Raab, Frank-Michael Schleif:
Sparse Transfer Classification for Text Documents. 169-181 - Peer Neubert, Peter Protzel:
Towards Hypervector Representations for Learning and Planning with Schemas. 182-189 - Seda Polat Erdeniz, Alexander Felfernig, Muesluem Atas:
LearnDiag: A Direct Diagnosis Algorithm Based On Learned Heuristics. 190-197
Planning
- Daniel Beßler, Mihai Pomarlan, Aliakbar Akbari, Muhayyuddin, Mohammed Diab, Jan Rosell, John A. Bateman, Michael Beetz:
Assembly Planning in Cluttered Environments Through Heterogeneous Reasoning. 201-214 - Kristina Y. Yordanova:
Extracting Planning Operators from Instructional Texts for Behaviour Interpretation. 215-228 - Kyrill Schmid, Lenz Belzner, Marie Kiermeier, Alexander Neitz, Thomy Phan, Thomas Gabor, Claudia Linnhoff:
Risk-Sensitivity in Simulation Based Online Planning. 229-240
Neural Networks
- Daniel Lückehe, Sonja Veith, Gabriele von Voigt:
Evolutionary Structure Minimization of Deep Neural Networks for Motion Sensor Data. 243-257 - Stefan Oehmcke, Oliver Kramer:
Knowledge Sharing for Population Based Neural Network Training. 258-269 - Jonas Prellberg, Oliver Kramer:
Limited Evaluation Evolutionary Optimization of Large Neural Networks. 270-283 - Mihai Pomarlan, John A. Bateman:
Understanding NLP Neural Networks by the Texts They Generate. 284-296 - Sven Stauden, Michael Barz, Daniel Sonntag:
Visual Search Target Inference Using Bag of Deep Visual Words. 297-304 - Patryk Hopner, Eneldo Loza Mencía:
Analysis and Optimization of Deep Counterfactual Value Networks. 305-312
Search
- Tobias Schwartz, Diedrich Wolter:
A Variant of Monte-Carlo Tree Search for Referring Expression Generation. 315-326 - Tobias Joppen, Christian Wirth, Johannes Fürnkranz:
Preference-Based Monte Carlo Tree Search. 327-340
Belief Revision
- Gavin Rens, Thomas Andreas Meyer, Gabriele Kern-Isberner, Abhaya Nayak:
Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence. 343-356 - 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, Christoph Beierle:
Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges. 357-365 - Christoph Beierle, Tanja Bock, Gabriele Kern-Isberner, Marco Ragni, Kai Sauerwald:
Kinds and Aspects of Forgetting in Common-Sense Knowledge and Belief Management. 366-373
Context Aware Systems
- Özgür Lütfü Özçep:
Bounded-Memory Stream Processing. 377-390 - Dorothee Rocznik, Klaus Goffart, Manuel Wiesche, Helmut Krcmar:
An Implementation and Evaluation of User-Centered Requirements for Smart In-house Mobility Services. 391-398
Cognitive Approach
- Ilir Kola, Marco Ragni:
Predict the Individual Reasoner: A New Approach. 401-414 - Nicolas Riesterer, Daniel Brand, Marco Ragni:
The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning. 415-421
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