Usando LLMs para Programar Jogos de Tabuleiro e Variações

Álvaro Guglielmin Becker, Lana Bertoldo Rossato, Anderson Rocha Tavares
11/7/2025
cs.LG

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Abstract

Creating programs to represent board games can be a time-consuming task. Large Language Models (LLMs) arise as appealing tools to expedite this process, given their capacity to efficiently generate code from simple contextual information. In this work, we propose a method to test how capable three LLMs (Claude, DeepSeek and ChatGPT) are at creating code for board games, as well as new variants of existing games.

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Cite this paper

@article{becker2025usando,
  title  = {Usando LLMs para Programar Jogos de Tabuleiro e Variações},
  author = {Álvaro Guglielmin Becker and Lana Bertoldo Rossato and Anderson Rocha Tavares},
  year   = {2025},
  eprint = {2511.05114},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.05114v1}
}

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