2023/04/18 by Cristiano Politowski, Politowski, Cristiano, Fábio Petrillo +7
Computer Science · Social Sciences · #Artificial Intelligence in Games #Digital Games and Media #FOS: Computer and information sciences #Peer-to-Peer Network Technologies #Software Engineering (cs.SE)
paper · pdf · doi:10.48550/arxiv.2304.08699
openalex publication_date 2023/04/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
As the complexity and scope of games increase, game testing, also called playtesting, becomes an essential activity to ensure the quality of video games. Yet, the manual, ad-hoc nature of game testing leaves space for automation. In this paper, we research, design, and implement an approach to supplement game testing to balance video games with autonomous agents. We evaluate our approach with two platform games. We bring a systematic way to assess if a game is balanced by (1) comparing the difficulty levels between game versions and issues with the game design, and (2) the game demands for skill or luck.