How to analyze team composition balance in PvP games?
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
September 2, 2024
https://arxiv.org/pdf/2408.17180This research paper introduces novel methods for quantifying balance in player-versus-player (PvP) game compositions, particularly relevant for games featuring a large number of possible combinations. They leverage the Bradley-Terry model and vector quantization to efficiently represent composition strengths and counter relationships, allowing for accurate predictions of win probabilities and identification of dominant compositions.
The methods are significant for LLM-based multi-agent systems as they offer a framework for:
- Evaluating the balance of agent strategies: by quantifying strengths and counter relationships, promoting fair and diverse agent interactions.
- Developing more engaging agent-based games: by identifying dominant strategies and adjusting game parameters to ensure diverse agent viability and stimulating gameplay.
- Training multi-agent systems: by exposing agents to diverse counter strategies and encouraging the development of robust and adaptable behaviors.
- Extending this framework to other competitive scenarios: such as evaluating LLM performance in tasks like debate or question-answering, promoting more nuanced assessments beyond simple win rates.