KI 2018: Advances in Artificial Intelligence

41st German Conference on AI, Berlin, Germany, September 24–28, 2018, Proceedings

AvFrank Trollmann,Anni-Yasmin Turhan

Häftad, Engelska, 2018

Del i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the refereed proceedings of the 41st German Conference on Artificial Intelligence, KI 2018, held in Berlin, Germany, in September 2018.The 20 full and 14 short papers presented in this volume were carefully reviewed and selected from 65 submissions. The book also contains one keynote talk in full paper length. The papers were organized in topical sections named: reasoning; multi-agent systems; robotics; learning; planning; neural networks; search; belief revision; context aware systems; and cognitive approach.

Produktinformation

Utgivningsdatum:2018-08-31
Mått:155 x 235 x 24 mm
Vikt:663 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:424
Förlag:Springer Nature Switzerland AG
ISBN:9783030001100

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Keynote Talks.- Keynote: Session-based Recommendation - Challenges and Recent Advances.- Reasoning.- Model Checking for Coalition Announcement Logic.- Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm.- Towards Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm.- Acquisition of Terminological Knowledge in Probabilistic Description Logic.- Multi-Agent Systems.- Group Envy Freeness and Group Pareto Efficiency in Fair Division with Indivisible Items.- Approximate Probabilistic Parallel Multiset Rewriting using MCMC.- Efficient Auction Based Coordination for Distributed Multi-Agent Planning in Temporal Domains Using Resource Abstraction.- Maximizing Expected Impact in an Agent Reputation Network.- Developing a Distributed Drone Delivery System with a Hybrid Behavior Planning System.- Robotics.- A Sequence-Based Neuronal Model for Mobile Robot Localization.- Acquiring knowledge of object arrangements from human examples for household robots.- Learning.- Solver Tuning and Model Configuration.- Condorcet's Jury Theorem for Consensus Clustering.- Sparse Transfer Classification for Text Documents.- Towards Hypervector Representations for Learning and Planning with Schemas.- LEARNDIAG: A Direct Diagnosis Algorithm Based On Learned Heuristics.- Planning.- Assembly Planning in Cluttered Environments through Heterogeneous Reasoning.- Extracting Planning Operators from Instructional Texts for Behaviour Interpretation.- Risk-Sensitivity in Simulation Based Online Planning.- Neural Networks.- Evolutionary Structure Minimization of Deep Neural Networks for Motion Sensor Data.- Knowledge Sharing For Population Based Neural Network Training.- Limited Evaluation Evolutionary Optimization of Large Neural Networks.- Understanding NLP Neural Networks by the Texts They Generate.- Visual Search Target Inference using Bag of Deep Visual Words.- Analysis and Optimization of Deep Counterfactual Value Networks.- Search. -A Variant ofMonte-Carlo Tree Search for Referring Expression Generation.- Preference-Based Monte Carlo Tree Search.- Belief Revision.- Probabilistic Belief Revision via Similarity of Worlds Modulo Evidence.- Intentional Forgetting in Artificial Intelligence Systems: Perspectives and Challenges.- Kinds and Aspects of Forgetting in Common-Sense Knowledge and Belief Management.- Context Aware Systems.- Bounded-Memory Stream Processing.- An Implementation and Evaluation of User-centered Requirements for Smart In-House Mobility Services.- Cognitive Approach.- Predict the Individual Reasoner: A New Approach.- The Predictive Power of Heuristic Portfolios in Human Syllogistic Reasoning.