We address the issue, in cognitive agents, of possible loss of previous information, which
later might turn out to be correct when new information becomes available. To this aim, we …

Scarlet an Artificial Teaching Assistant is a personal digital assistant that has been
developed with main aim to assist students in their learning process by ensuring fast and …

In a traditional recruitment process, large amounts of resumes and job postings are often
handled manually, which is very time-consuming. Existing machine learning techniques for …

We propose a logic-based framework to model a system whose aim is to help provide the
user with those pieces of information that are useful with respect to his/her current …

Efficient extraction of pertinent terms from job advertisements (JAs) relies on feature
engineering, specifically the selection of textual markers. Yet, current methods lack …

VANETs allow for unprecedented amounts of information to be sent between participants in
traffic. Unfortunately, without countermeasures, they also allow selfish agents to take …

The Belief-Desire-Intention (BDI) architecture is a practical approach for modelling large-
scale intelligent systems. In the BDI setting, a complex system is represented as a network of …

In this paper, a simulation of a multi-agent recommender system is presented and
developed in the NetLogo platform. The specification of this recommender system is based …

In this paper, we propose a multi-agent recommender system based on the Belief-Desire-
Intention (BDI) model applied to multi-context systems. First, we extend the BDI model with …

The way in which the relationships between beliefs, goals, and intentions are captured by a
formalism can have a significant impact on the design of a rational agent. In particular, what …