This paper aims to present JALEA, an innovative web tool for the acquisition of the Japanese language dedicated to higher education learners. In particular it highlights the innovative learner-centered approach based on the self-guided discovery of grammar structures and words’ meanings through the combined use of realia (multimedia contents referring to real-life situations in Japan), hyperlinks and interactive features such as pop-up dictionary, character-writing explanations, slow-motion option in video examples, etc. Moreover, it illustrates the ICT characteristics of this web tool,permitting on the one handthe smooth working of the application on several platforms (pc, tablet and smartphone); on the other, its sustainability and maintainability thanks to the implementation of a layer accessible to maintainers (backend) with several automatization features that facilitate the addition of more content,s also by personnel with low ICT knowledge or skills.
In this paper we consider $\cal M\!AX\!$---$\cal MI\!N\!$ Ant System and Ant Colony System. They are generally recognized to be the best performing algorithms of the Ant Colony Optimization family. They are characterized by a quite different way for dealing with the pheromone trail. We propose an experimental analysis for observing whether this difference impacts significantly on the characteristics of the pheromone distributions produced during the runs. The results obtained are analyzed by using some concepts derived by the literature on small-world networks. It comes out that ants actually build small-world pheromone graphs during their runs. This behavior is interpreted here as a sort of decomposition of the instances tackled.