BDI agents act in response to external inputs and their internal plan library. Understanding
the root cause of BDI agent action is often difficult, and in this paper we present a dialogue …

Abstract Explainable Artificial Intelligence (XAI) is a research area that clarifies AI decision-
making processes to build user trust and promote responsible AI. Hence, a key scientific …

Frames—discursive structures that make dimensions of a situation more or less salient—are
understood to influence how people understand novel technologies. As technological …

The decision-making process can be complex and underestimated, where mismanagement
could lead to poor results and excessive spending. This situation appears in highly complex …

During the first step of practical reasoning, ie deliberation or goals selection, an intelligent
agent generates a set of pursuable goals and then selects which of them he commits to …

As agent-based systems have been growing, more and more the general public has access
to them and is influenced by decisions taken by these systems. This increases the necessity …

Human-agent teamwork (HAT) is becoming increasingly prevalent in fields such as search
and rescue (SAR), where effective collaboration between humans and artificial agents is …

Generating explanations from logic-based argumentation formalisms is based on reasoning
chains that allow to deduce conclusions, which allows to construct structured arguments. In …