In many dynamic open systems, autonomous agents must interact with one another to
achieve their goals. Such agents may be self-interested and, when trusted to perform an …

In this paper we illustrate how novel AI methods can improve the performance of intelligence
analysts. These analysts aim to make sense of—often conflicting or incomplete …

Evaluating trust in Multi-Agent Systems (MASs) is of prime importance for the success of
agent-based applications where agents interact and operate in uncertain and dynamic …

The aim of intelligence analysis is to make sense of information that is often conflicting or
incomplete, and to weigh competing hypotheses that may explain a situation. This imposes …

This paper focuses on argumentation graphs whose nodes are arguments and edges
represent supports, thus positive relations, between arguments. Furthermore, each …

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 …

Dialogue is fundamental to argumentation, providing a dialectical basis for establishing
which arguments are acceptable. Argumentation can also be used as the basis for dialogue …

An argument is a reason or justification of a claim. It has an intrinsic strength and may be
attacked by other arguments. Hence, the evaluation of its overall strength becomes …

Recent studies have shown that applying Theory of Mind to agent technologies enables
agents to model and reason about other agents' minds, making them more efficient than …

Abstract Applying Theory of Mind to multi-agent systems enables agents to model and
reason about other agents' minds. Recent work shows that this ability could increase the …