Recent applications of autonomous agents and robots have brought attention to crucial trust-
related challenges associated with the current generation of artificial intelligence (AI) …

In this paper we introduce a new class of software tools engaged in delivering successful
explanations of complex processes on top of basic Explainable AI (XAI) software systems …

Prioritized Experience Replay (PER) is a technical means of deep reinforcement learning by
selecting experience samples with more knowledge quantity to improve the training rate of …

We propose a new method for generating explanations with Artificial Intelligence (AI) and a
tool to test its expressive power within a user interface. In order to bridge the gap between …

Recently, the autonomous driving technology is at a critical phase evolving from typical,
closed scenarios to largescale, open driving scenarios, which is challenged by the diversity …

Explanatory processes are at the core of scientific investigation, legal reasoning, and
education. However, effectively explaining complex or large amounts of information, such as …

Reinforcement Learning (RL) has shown promise in optimizing complex control and
decision-making processes but Deep Reinforcement Learning (DRL) lacks interpretability …

Norms are a coordination mechanism. They control agents' behavior in a multiagent system
(MAS) and need to evolve to cope with changing environments. Mutation oriented norm …

Today we live in an age where the internet and artificial intelligence allow us to search for
information through impressive amounts of data, opening up revolutionary new ways to …