KI 2022: Advances in Artificial Intelligence
45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings
Published on 17. September 2022
Book
Paperback/Softback
XXII, 225 pages
978-3-031-15790-5 (ISBN)
Description
This book constitutes the refereed proceedings of the 45
th
German Conference on Artificial Intelligence, KI 2022, held in September 2022.
The 12 full and 5 short papers were carefully reviewed and selected from 51 submissions. Additionally, five abstracts of invited talks are included. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research.
Due to COVID-19 the conference was held virtually.
The chapter "Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
7 s/w Abbildungen, 49 farbige Abbildungen
XXII, 225 p. 56 illus., 49 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
382 gr
ISBN-13
978-3-031-15790-5 (9783031157905)
DOI
10.1007/978-3-031-15791-2
Schweitzer Classification
Other editions
Additional editions
Ralph Bergmann | Lukas Malburg | Stephanie C. Rodermund
KI 2022: Advances in Artificial Intelligence
45th German Conference on AI, Trier, Germany, September 19-23, 2022, Proceedings
E-Book
09/2022
Springer
€58.84
Available for download
Content
An Implementation of Nonmonotonic Reasoning with System W.- Leveraging implicit gaze-based user feedback for interactive machine learning.- The Randomness of Input Data Spaces is an A Priori Predictor for Generalization.- Communicating Safety of Planned Paths via Optimally-Simple Explanations.- Assessing the Accuracy-Explainability-Cost Trade-off on Model Selection for Retail Article Categorization.- Enabling Supervised Machine Learning for SMEs through Data Pooling: A Case Study in the Service Industry.- Unsupervised Alignment of Distributional Word Embeddings. NeuralPDE: Modelling Dynamical Systems from Data.- Deep Neural Networks for Geometric Shape Deformation.- Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling.- Optimal Fixed-Premise Repairs of EL TBoxes.- Health And Habit: an Agent-based Approach.- Knowledge Graph Embeddings with Ontologies: Reification for Representing Arbitrary Relations.- Solving the Traveling Salesperson Problem with Precedence Constraints by Deep Reinforcement Learning.- HanKA: Enriched Knowledge Used by an Adaptive Cooking Assistant.- Automated Kantian Ethics: A Faithful Implementation and Testing Framework.- PEBAM: A Profile-based Evaluation Method for Bias Assessment on Mixed Datasets.