Decision Making Model

Decision-making models aim to formalize and optimize the process of choosing among alternatives, considering factors like uncertainty and incomplete knowledge. Current research emphasizes developing models that leverage diverse data sources, including social media sentiment, process logs, and multimodal time series, often employing Bayesian learning, large language models (LLMs), and advanced optimization algorithms like block coordinate descent. These advancements are improving the accuracy and efficiency of decision-making in various fields, from resource allocation and policy design to personalized AI systems and economic modeling.