Introducing Bee Colony Algorithm for Hexxagon game

There has been an increase in the number of domains researching bio-inspired algorithms. The researches conclusions mostly suggest that by taking an example of the processes that work in nature for so long can have its benefits. They proved their performance is greater then the classic approach in most fields. Basically, they were applied to optimize other processes. In this paper we will study and follow one representative of the bio-inspired algorithms, the Bee Colony Algorithm, and try to apply it in the making of the artificial player of a game, the Hexxagon game. The new concept in this approach is the way the algorithm is put to use. The algorithm will be implemented to actually take the decisions in the game play, not to improve another algorithm. The experiment results indicate a significant increase in game performance and better decisions of the artificial player.