Human Belief

Human belief formation and its influence on decision-making are central research topics, focusing on how beliefs are structured, updated, and shared within social contexts. Current research employs computational models, including large language models and Bayesian approaches, to analyze belief networks and predict belief changes based on factors like cognitive dissonance and observed actions. This work is significant for advancing our understanding of human cognition and social interaction, with implications for improving human-AI collaboration and developing more effective strategies for communication and persuasion.