Parameter adaptive system to learning processes for emerging serious games using cultural algorithms

One of the general problems of serious games is their poor ability to adapt to players while they play. One response to that need has been emerging serious games, which allow for real-time adjustment of serious games. To do this, they can use different approaches such as adjusting their strategies, and their plots, among others. In this paper, an adaptive system of parameters for emerging serious games is proposed. This adaptive system enables the emergence of parameters in a serious game to adapt it to an educational environment where it takes place. In particular, this adaptive system uses a cultural algorithm to modify the parameters of the emerging serious games in real-time based on the information of the learning process where it is used. This system is evaluated in a smart classroom for the parameter adaptation of several serious games used in it. Thus. in each of them, it is able to obtain the optimal values of the serious game parameters that allow the players to achieve the objectives of the serious game (a minimum number of points to achieve) in an optimal playing time. The most relevant scientific contribution of the work is the development of an architecture based on Cultural Algorithms to adapt the parameters of a serious game to the characteristics of the players. The results are very encouraging because the serious games are adapted to the behavior of the students in the smart classroom.