KI 2021 44th German Conference on AI, Virtual event, September 27-October 1, 2021, Proceedings /
This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected...
| Corporate Authors: | German Conference on Artificial Intelligence Online) |
|---|---|
| Other Authors: | German Conference on Artificial Intelligence, Edelkamp, Stefan., Möller, Ralf (Computer scientist), Rueckert, Elmar., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2021.
Cham : 2021. |
| Physical Description: |
1 online resource (388 pages). |
| Series: |
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 12873. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
Table of Contents:
- Intro
- Preface
- Special Events
- Tutorial
- Workshops
- Organization
- Abstracts of Invited Talks
- Monte Carlo Search
- Autonomy in AI: Reactive Synthesis, Planning and Reinforcement Learning in Linear Temporal Logic on Finite Traces
- Ontologies for Providing Map Knowledge to Autonomous Vehicles
- The Third Wave of AI
- Motion Intelligence for Human-Centred Robots
- Human-Compatible Artificial Intelligence
- Contents
- Technical Programme
- RP-DQN: An Application of Q-Learning to Vehicle Routing Problems
- 1 Introduction
- 2 Related Work
- 3 Problem Definition.
- 4 Method
- 4.1 Original Attention-Model
- 4.2 RP-DQN
- 5 Experiments
- 5.1 Baselines
- 5.2 Data
- 5.3 CVRP Results
- 5.4 MDVRP Results
- 5.5 Learning Curves
- 5.6 Runtime Comparison
- 5.7 Generalization Study
- 6 Conclusion
- References
- Circulant Maximum Variance Bases
- 1 Introduction
- 2 Preliminaries
- 2.1 Principal Component Analysis
- 2.2 Dynamic Principal Component Analysis
- 2.3 -Circulant Matrices
- 3 Maximum Variance Bases
- 3.1 Simple Matched Circulants
- 3.2 Matched -Circulant Matrices
- 3.3 Relation to PCA, DPCA and DFT
- 4 Numerical Results
- 4.1 MA Process.
- 4.2 Circular Process
- 5 Conclusion
- References
- Quantified Boolean Solving for Achievement Games
- 1 Introduction
- 2 Quantified Boolean Formulas
- 3 Harary's Tic-Tac-Toe
- 4 Related Work
- 5 The Pairing Encoding
- 6 Experimental Results
- 7 Conclusion
- References
- Knowledge Graph Based Question Answering System for Financial Securities
- 1 Introduction
- 2 Framework
- 2.1 Knowledge Graph Construction
- 2.2 Semantic Question Answering System
- 3 Experiments
- 4 Conclusion
- References
- Semi-unsupervised Learning: An In-depth Parameter Analysis
- 1 Introduction.
- 2 Related Work
- 3 Methodology
- 3.1 Learning Paradigms
- 3.2 Semi-unsupervised Learning with Deep Generative Models
- 4 Datasets
- 5 Experiments
- 5.1 Semi-unsupervised Classification
- 5.2 Parameter Analysis
- 6 Summary and Outlook
- References
- Combining Transformer Generators with Convolutional Discriminators
- 1 Introduction
- 2 Related Work
- 2.1 Generative Models Using CNNs
- 2.2 Generative Models Using Attention
- 2.3 Hybrid Models
- 3 Model Architecture
- 3.1 Transformer Generator
- 3.2 Convolutional Discriminator
- 4 Experiments
- 4.1 Setup
- 4.2 Results.
- 4.3 Frequency Analysis
- 5 Discussion
- 6 Conclusion
- References
- Explanation as a Process: User-Centric Construction of Multi-level and Multi-modal Explanations
- 1 Introduction
- 2 A Relational Knowledge Domain
- 3 Learning an Interpretable Model with ILP
- 4 Multi-level and Multi-modal Explanations
- 4.1 Explanation Generation
- 4.2 Explanatory Dialogue
- 4.3 Proof-of-Concept Implementation
- 5 Conclusion and Outlook
- References.
- Multi-Type-TD-TSR
- Extracting Tables from Document Images Using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: From OCR to Structured Table Representations.