The problem of the validity of simulation is particularly relevant for methodologies that use
machine learning techniques to develop control systems for autonomous robots, as, for …

A methodology for evolving the control systems of autonomous robots has not yet been well
established. In this paper we will show different examples of applications of evolutionary …

This paper explores a new educational application of Piaget's theories of cognitive development,
that is, the use, as a teaching tool, of physical robots conceived as artificial organisms. …

The use of serious games to support learning continues to expand across a range of
educational and training settings. Hence, a need exists to understand more fully how users …

The book explores methodological and technological aspects underpinning the training of
soft skills through the migration and adaptation of psycho-pedagogical methodology, such as …

We present a model based on genetic algorithm and neural networks. The neural networks
develop on the basis of an inherited genotype but they show phenotypic plasticity, ie they …

The digital revolution has deeply transformed the educational materials, especially for children,
in a pathway going from physical objects to digital ones. In this paper, after delineating …

The physical educational games and the traditional psycho-pedagogical methodologies are
deeply based on the manipulation of objects. The opportunity derived by some low-cost …

Evolutionary robotics using genetic algorithms to evolve control systems for real robots is a
powerful tool, since it allows an automatic evolution of control systems. However, …

Background The measures taken to contain the coronavirus disease 2019 (COVID-19)
pandemic, such as the lockdown in Italy, do impact psychological health; yet, less is known about …