Over the last ten years, argumentation has come to be increasingly central as a core study
within Artificial Intelligence (AI). The articles forming this volume reflect a variety of important …

The abstract nature of Dung's seminal theory of argumentation accounts for its widespread
application as a general framework for various species of non-monotonic reasoning, and …

In this paper we describe an approach to practical reasoning, reasoning about what it is best
for a particular agent to do in a given situation, based on presumptive justifications of action …

There is an increasing need for norms to be embedded in technology as the widespread
deployment of applications such as autonomous driving, warfare and big data analysis for …

Often, users do not know how artificial intelligence (AI) systems make decisions or obtain
information, making it difficult for them to trust AI. This paper provides a systematic analysis …

In this research note, we introduce a graded BDI agent development framework, g-BDI for
short, that allows to build agents as multi-context systems that reason about three …

Recommender systems (RSs) use the opinions of members of a community to help
individuals in that community identify the information most likely to be interesting to them or …

This book provides an argumentation model for means end-reasoning, a distinctive type of
reasoning used for problem-solving and decision-making. Means end-reasoning is modeled …

There are many benefits of using argumentation-based techniques in multi-agent systems,
as clearly shown in the literature. Such benefits come not only from the expressiveness that …

Abstract Argumentation is a promising approach used by autonomous agents for reasoning
about inconsistent/incomplete/uncertain knowledge, based on the construction and the …