KI 2022: Advances in Artificial Intelligence

TRAMA

This book constitutes the refereed proceedings of the 45th 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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783031157905
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 385 gr
• Formato: Brossura
• Illustration Notes: XXII, 225 p. 56 illus., 49 illus. in color.
• Pagine Arabe: 225
• Pagine Romane: xxii