Evolutionary Game Theory Models Predict Human-AI Coevolution Dynamics

A recent publication on arXiv (2505.16388) utilizes Evolutionary Game Theory (EGT) to analyze the competitive and cooperative dynamics between humans and AI, forecasting possible evolutionary equilibria. The research investigates thirteen EGT models, emphasizing three: the Hawk-Dove Game, the Iterated Prisoner's Dilemma, and the War of Attrition. The Hawk-Dove Game anticipates balanced mixed-strategy equilibria influenced by conflict costs, while the Iterated Prisoner's Dilemma implies that repeated interactions could foster cognitive co-evolution. The War of Attrition suggests that resource competition may lead to strategic co-evolution. The paper's abstract remarks that "the serious games between humans and AI have only just begun," highlighting its significance for AI policy and ethics. The study represents a growing field merging game theory, AI, and evolutionary biology, and was announced as a revised version on arXiv.