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Cooperative Multi-agent Approach for Automated Computer Game Testing

arXiv 2405.11347 ↗First posted 18 May 2024cs.SE cs.AIcited by 0

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Abstract (arXiv)

Automated testing of computer games is a challenging problem, especially when lengthy scenarios have to be tested. Automating such a scenario boils down to finding the right sequence of interactions given an abstract description of the scenario. Recent works have shown that an agent-based approach works well for the purpose, e.g. due to agents' reactivity, hence enabling a test agent to immediately react to game events and changing state. Many games nowadays are multi-player. This opens up an interesting possibility to deploy multiple cooperative test agents to test such a game, for example to speed up the execution of multiple testing tasks. This paper offers a cooperative multi-agent testing approach and a study of its performance based on a case study on a 3D game called Lab Recruits.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 18 May 2024.

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5 of 23 references.

References · 5

  1. 2021Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agentscited by 28
  2. 2019Automated Video Game Testing Using Synthetic and Human-Like Agentscited by 22
  3. 2020Enhancing the Monte Carlo Tree Search Algorithm for Video Game Testingcited by 4
  4. 2022An Agent-based Approach to Automated Game Testing: an Experience Reportcited by 3
  5. 2022An Online Agent-Based Search Approach in Automated Computer Game Testing with Model Constructioncited by 1

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