Researchers conducted a systematic mapping study of strategic reasoning in chess, comparing human and artificial decision-making. They found that LLM research focuses on state representation and generalization, while hybrid approaches combining LLMs with engines or expert knowledge emphasize grounded explanation. The study identifies areas for future research, including explicit planning, metacognitive calibration, and human-AI complementarity.