Summary of Identifying and Clustering Counter Relationships Of Team Compositions in Pvp Games For Efficient Balance Analysis, by Chiu-chou Lin et al.
Identifying and Clustering Counter Relationships of Team Compositions in PvP Games for Efficient Balance Analysis
by Chiu-Chou Lin, Yu-Wei Shih, Kuei-Ting Kuo, Yu-Cheng Chen, Chien-Hua Chen, Wei-Chen Chiu, I-Chen Wu
First submitted to arxiv on: 30 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computer Science and Game Theory (cs.GT); Information Retrieval (cs.IR); Machine Learning (cs.LG); Multiagent Systems (cs.MA)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research presents two advanced measures to quantify balance in zero-sum competitive scenarios, crucial for game designers to enhance gameplay and achieve balance in games like MOBA or card games. The proposed methods utilize win value estimations based on strength ratings and counter relationships, reducing computational complexity compared to traditional approaches. Through a learning process, the models identify composition categories and counter relationships, aligning with human player experiences without requiring specific game knowledge. The framework is validated in popular online games like Age of Empires II, Hearthstone, Brawl Stars, and League of Legends, demonstrating comparable accuracy to traditional win value predictions while offering improved complexity for analysis. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps game designers make fair and balanced games by using special math tools to figure out how strong different teams are. The team’s strength is based on the strengths of its individual members. This helps balance the game so that no one team has an unfair advantage. The researchers tested this idea in several popular online games and found it worked well. This means game designers can use these tools to make sure their games are fun and fair for everyone playing. |
