Argumentation and eXplainable Artificial Intelligence (XAI) are closely related, as in the
recent years, Argumentation has been used for providing Explainability to AI. Argumentation …

This paper presents objective metrics for how explainable artificial intelligence (XAI) can be
quantified. Through an overview of current trends, we show that many explanations are …

Engaging in a debate with oneself or others to take decisions is an integral part of our day-
today life. A debate on a topic (say, use of performance enhancing drugs) typically proceeds …

This article tackles a new challenging task in computational argumentation. Given a pair of
two arguments to a certain controversial topic, we aim to directly assess qualitative …

With the advancement in argument detection, we suggest to pay more attention to the
challenging task of identifying the more convincing arguments. Machines capable of …

The number of multi-robot systems deployed in field applications has risen dramatically over
the years. Nevertheless, supervising and operating multiple robots simultaneously is a …

Designing and implementing explainable systems is seen as the next step towards
increasing user trust in, acceptance of and reliance on Artificial Intelligence (AI) systems …

Automated agents should be able to persuade people in the same way people persuade
each other-via dialogs. Today, automated persuasion modeling and research use unnatural …

Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

It is difficult to train a personalized task-oriented dialogue system because the data collected
from each individual is often insufficient. Personalized dialogue systems trained on a small …