On the Use of Ant Colony Optimization for Video Games

Traditionally, games and video games have provided a framework for the study of Artificial Intelligence approaches. The main objective of this work is to verify whether the optimization method based on ant colonies can be applied to the development of a competitive agent in the environment of videogames in real time. One of the important characteristics of the presented work is the optimization calculations to void losing the game fluidity. In addition, another aim of the work is to obtain an architecture for the development of educational type videogames to encourage inexperienced users to interact with artificial intelligence algorithms. The game allows the user to experience the changes in the algorithm given certain changes in the parameters and variables used by the Ant Colony Optimization algorithm itself.