Agents and Artificial Intelligence 13th International Conference ICAART 2021 Virtual Event February 4 6 2021 Revised Selected Papers Lecture Notes in Computer Science 13251 1st Edition by Ana, Luc, Jaap 9783031101601 303110160X

Table Contents:

1. Cover
2. Front Matter
3. Agents
4. Specification Aware Multi-Agent Reinforcement Learning
5. Task Bundle Delegation for Reducing the Flowtime
6. A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems
7. Automatically-Generated Agent Organizations for Flexible Workflow Enactment
8. Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem
9. Artificial Intelligence
10. Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis
11. Using Possibilistic Networks to Compute Learning Course Indicators
12. Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems
13. How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?
14. On the Relationship with Toulmin Method to Logic-Based Argumentation
15. Informer: An Efficient Transformer Architecture Using Convolutional Layers
16. Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks
17. An Interpretable Word Sense Classifier for Human Explainable Chatbot
18. A Tsetlin Machine Framework for Universal Outlier and Novelty Detection
19. Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents
20. Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning
21. Practical City Scale Stochastic Path Planning with Pre-computation
22. Back Matter