Game Structure

Game structure research explores how the design and underlying mechanics of games influence player behavior, game outcomes, and the development of effective AI agents. Current research focuses on analyzing game structures to improve AI performance using techniques like graph neural networks (GNNs) for handling complex relationships and multi-stage reinforcement learning for tackling sequential decision-making. This work has implications for both game design, informing the creation of more engaging and balanced games, and artificial intelligence, advancing the development of robust and adaptable game-playing agents. Furthermore, understanding the emotional impact of game duration and the strategic decision-making of large language models within game-theoretic frameworks are emerging areas of interest.