Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes
them be identified with the whole AI by many non-computer-scientists and non-technical …

Abstract Massive Open Online Courses (MOOCs) represent a form of large-scale learning
that is changing the landscape of higher education. In this paper, we offer a perspective on …

This paper focuses on the challenges of modeling cyber–physical systems (CPSs) that arise
from the intrinsic heterogeneity, concurrency, and sensitivity to timing of such systems. It …

Although intelligent agent-based systems have existed for several years, the progression in
terms of real applications or their integration in the industry have not yet reached the …

In this article we focus on the notion of artifact for agents in multi-agent systems (MAS) as a
basis for a new meta-model promoting the modelling and engineering of agent societies and …

Multiagent Systems (MASs) have evolved towards the specification of global constraints that
heterogeneous and autonomous agents are supposed to follow when concerning open …

Abstract Internet of Things (IoT) is often envisioned as a paradigm shift from the traditional
Internet to a scenario where all the “things” will be connected with the Internet. IoT forced the …

Monitoring patients through robotics telehealth systems is an interesting scenario where
patients' conditions, and their environment, are dynamic and unknown variables. We …

Knowledge representation in autonomous robots with social roles has steadily gained
importance through their supportive task assistance in domestic, hospital, and industrial …

Agent-based models (ABMs) are increasingly being used for exploring and supporting
decision making about social science scenarios involving modelling of human agents …