Cognitive science and artificial intelligence are interconnected in that developments in one
field can affect the framework of reference for research in the other. Changes in our …

Reinforcement learning (RL) is increasingly used to achieve adaptive behaviours in Internet
of Things systems relying on large amounts of sensor data. To address the need for self …

Prediction of traffic dynamics plays a significant role in many Intelligent Transportation
Systems (ITS). Nonetheless, accurate and real-time traffic prediction is always a difficult task …

As road traffic is becoming increasingly dense, new needs in terms of intelligent human-
machine interaction are emerging for their control by human operators. One avenue of …

The continual growth in road traffic poses significant challenges to effective traffic
management, necessitating innovative solutions such as Cooperative Intelligent Transport …

Within the next few years, autonomous vehicles will start being commercialized. In the same
time, inter-vehicular communication is emerging. Using these new technologies allows …

In this paper we present a generic multiagent learning system based on context learning
applied in robotics. By applying learning with multiagent systems in robotics, we propose an …

Understanding data and extracting information from it are the main objectives of data
science, especially when it comes to big data. To achieve these goals, it is necessary to …

Abstract Cooperative Intelligent Transport Systems (C-ITSs) aim to improve safety, traffic
efficiency, energy efficiency, and comfort. The C-ITS uses technology to allow vehicles to …

Since their appearance, computer programs have embodied discipline and structured
approaches and methodologies. Yet, to this day, equipping machines with imaginative and …