Undergraduate Research Reveals Limitations in AI Mastering Complex Card Games

A study conducted by a Binghamton University computer science student evaluated how machine learning models handle the unpredictable dynamics of complex card games like Pokémon. The research indicated that while AI models adapt well to structured environments, human opponents can still exploit predictive algorithmic patterns. The findings highlight persistent boundaries in AI's non-linear decision-making abilities.