Human Decision

Human decision-making is a complex process currently being investigated through various lenses, aiming to understand its underlying mechanisms and improve its outcomes. Research focuses on modeling decision processes using diverse approaches, including deep neural networks, reinforcement learning integrated with graph representations, and Bayesian methods, often applied to analyze large datasets of human choices in diverse contexts like game theory, medical diagnosis, and project selection. These studies reveal the influence of factors such as cognitive biases, uncertainty, and social context on decisions, highlighting the need for more nuanced models that account for individual differences and the interaction between humans and AI systems. This work has implications for improving AI-human collaboration, designing more effective decision support systems, and gaining a deeper understanding of human cognition.