The Impact of the Cost Function on the Operation of the Intelligent Agent in 2D Games

A large part of the technology development depends on the needs of users. Apart from the hardware requirements for programs used by large companies or smaller groups, the wide applications and hardware load are games and graphics. Increasing the quality of games by improving their story quality requires a lot of more efficient and effective algorithms. In this work, we propose the use of a hybrid approach to the management of opponents' movements on the classic two-dimensional game called the Tron. Our solution is based on the use of the idea of a simulated annealing algorithm in order to select the agent's movement technique depending on the cost function. The algorithm has been implemented and tested depending on the used parameters. Obtained results were discussed depending on the advantages and disadvantages of using this type of solution in more complex games.