Agents and Artificial Intelligence

Chapter 1 Specification Aware Multi-Agent Reinforcement Learning

Chapter 2 Task Bundle Delegation for Reducing the Flowtime

Chapter 3 A Detailed Analysis of a Systematic Review About Requirements Engineering Processes for Multi-agent Systems

Chapter 4 Automatically-Generated Agent Organizations for Flexible Workflow Enactment

Chapter 5 Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem

Chapter 6 Utilizing Out-Domain Datasets to Enhance Multi-task Citation Analysis

Chapter 7 Using Possibilistic Networks to Compute Learning Course Indicators

Chapter 8 Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems

Chapter 9 How to Segment Handwritten Historical Chronicles Using Fully Convolutional Networks?

Chapter 10 On the Relationship with Toulmin Method to Logic-Based Argumentation

Chapter 11 Informer: An Efficient Transformer Architecture Using Convolutional Layers

Chapter 12 Improving the Generalization of Deep Learning Classification Models in Medical Imaging Using Transfer Learning and Generative Adversarial Networks

Chapter 13 An Interpretable Word Sense Classifier for Human Explainable Chatbot

Chapter 14 A Tsetlin Machine Framework for Universal Outlier and Novelty Detection

Chapter 15 Adding Supply/Demand Imbalance-Sensitivity to Simple Automated Trader-Agents

Chapter 16 Advances in Measuring Inflation Within Virtual Economies Using Deep Reinforcement Learning

Chapter 17 Practical City Scale Stochastic Path Planning with Pre-computation