Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems
designed to pursue complex goals with minimal human intervention. Unlike traditional AI …

Agent-based computing remains an active field of research with the goal of building (semi-)
autonomous software for dynamic ecosystems. Today, this task should be realized using …

Future buildings are complex systems that aim at improving the quality of life of their
inhabitants and increasing safeness, security, and efficiency. In order to reach these goals …

Smart cities have seen a growing interest among governments, researchers, and industries.
Smart cities use digital technologies to enhance the quality of life for residents while …

This paper presents a Runtime Verification (RV) approach for Multi-Agent Systems (MAS)
using the JaCaMo framework. Our objective is to bring a layer of security to the MAS. This is …

Multi-agent systems (MASs) are distributed and complex software that demand specific
software engineering features. Testing is a critical phase when validating software, and it is …

Patterns and processes emerge unbidden in complex systems when many simple entities
interact. This overview emphasizes the role of networks in emergence, notably network …

The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …

The advent of Industry 4.0 and the development of future industrial applications can be
achieved using Cyber-Physical Systems (CPS). This technological development invokes …

Due to the increasing use of Artificial Intelligence (AI) in Education, as well as in other areas,
different ethical questions have been raised in recent years. Despite this, only a few practical …