A New Paradigm of Large-model Collaborative Digital-intelligent Decision-making：Key Mechanisms and Future Prospects

The rapid development of large models is driving decision science from experience-driven approaches toward a new intelligent decision-making paradigm based on human–machine collaboration. This paper first reviews the evolutionary path of decision-making systems，which has progressed from experience-driven and data-driven models to human-machine collaborative models. Then，focusing on the three dimensions of robustness and adaptability of decision-making models，automation and controllability of strategy generation，and credibility of strategy output，it analyzes the key mechanisms of big model collaborative digital and intelligent decision-making. By integrating typical application scenarios such as medical services and public governance，the paper reveals the practical value of this paradigm in improving decision-making efficiency，optimizing service systems，and promoting governance innovation. In addition，this study discusses the technical and application challenges faced by this paradigm and outlines its future development directions，aiming to provide research insights and practical references for the construction and improvement of Chinese-style intelligent governance paradigms.