A Markov Decision Process (MDP) policy presents, for each state, an action, which
preferably maximizes the expected utility accrual over time. In this article, we present a novel …

Abstract A Markov Decision Process (MDP) policy presents, for each state, an action, which
preferably maximizes the expected reward accrual over time. In this paper, we present a …

This paper discusses four major argumentation theoretical frameworks with respect to their
use in support of explainable artificial intelligence (XAI). We consider these frameworks as …

Research on explanation techniques for expert systems has demonstrated that (1)
explanations are most effective when they address the user's needs and (2) it is necessary …

Interactive knowledge-based systems, such as advisory systems and intelligent tutoring
systems, should be able to communicate effectively with their users. A key aspect of …

During the past two decades many research teams have worked on the enhancement of the
explanation capabilities of knowledge-based systems and decision support systems. During …

Explanation is an interactive process, requiring a dialogue between advice-giver and
adviceseeker. Yet current expert systems cannot participate in a dialogue with users. In …

Explanation is an interactive process, requiring a dialogue between advice-giver and advice-
seeker. Yet current expert systems cannot participate in a dialogue with users. In particular …

The concept of explanation has received attention from different areas in Computer Science,
particularly in the knowledge-based systems and expert systems communities. At the same …

Understanding argumentation and its role in human reasoning has been a continuous
subject of investigation for scholars from the ancient Greek philosophers to current …