Digital twin (DT) is an emerging concept that is gaining attention in various industries. It
refers to the ability to clone a physical object (PO) into a software counterpart. The …

Large-scale decentralized systems of autonomous agents interacting via asynchronous
communication often experience the following self-healing dilemma: fault detection inherits …

We are experiencing a rapid evolution and advancement of technologies that are capable of
supporting the formulation and implementation of robust and adaptive network architectures …

A Case-Based Reasoning (CBR) is defined as an Artificial Intelligent technique that has a
problem-solving ability by reasoning previously experienced cases to solve new cases. The …

Recently, agent-based software technology has received wide attention by the research
community due to its valuable benefits, such as reducing the load on networks and providing …

The field of mobile communication has experienced great changes and growth since the
advancement of computing devices and wireless technology. The need for mobile networks …

In this paper, we propose a distributed state-and-fault estimation scheme for multiagent
systems. The estimator is based on an ℓ 1-norm optimization problem, which is inspired by …

This Ph. D. dissertation presents a pioneering Multi-Agent System (MAS) approach for
intelligent network management, particularly suited for next-generation networks like 5G and …

Agent faults pose a significant threat to the performance of multi-agent reinforcement
learning (MARL) algorithms, introducing two key challenges. First, agents often struggle to …

Modern systems tend to become more autonomous. A system can be considered completely
autonomous and robust if it does not just manage its tasks autonomously but also manages …