A Study of Optimization Models for Creation of Artificial Intelligence for the Computer Game in the Tower Defense Genre

Abstract

The work is devoted to the study of optimization models of decision theory for the development of artificial intelligence to control the computer strategy in the game of the Tower Defense genre. Mathematical models of the optimization problem of assigning monsters to paths and the problem of assigning towers to map cells were designed. Multi-criteria convolutional model based on utility theory are proposed. Based on the conducted experiments, recommendations for the use of medium and advanced artificial intelligence in the game in this genre were made.