Towards playing Risk with a hybrid Monte Carlo based agent

  • René G. Ferrari UFSM
  • Joaquim V. C. Assunção UFSM


Over the last few decades, games have proven to be great test environments in the artificial intelligence field due to their well-defined rules and clear evaluation methods. Therefore, aiming at the advance in the artificial intelligence field, this paper proposes the development and analysis of a hybrid Monte Carlo based agent for the game Risk, a famous strategy board game. To do so, the proposed agent is going to face a heuristic agent based on an already tested agent. The expectation is to identify the pros, cons, and efficiency of using Monte Carlo in games like Risk.

Palavras-chave: Artificial Intelligence, Monte Carlo, Agents, RISK


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FERRARI, René G.; ASSUNÇÃO, Joaquim V. C.. Towards playing Risk with a hybrid Monte Carlo based agent. In: TRILHA DE COMPUTAÇÃO – ARTIGOS CURTOS - SIMPÓSIO BRASILEIRO DE JOGOS E ENTRETENIMENTO DIGITAL (SBGAMES), 21. , 2022, Natal/RN. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 301-306. DOI: