Collective Estimation

Collective estimation focuses on how groups of individuals or agents can combine their individual estimates to achieve a more accurate and robust overall assessment of an unknown quantity or parameter. Current research explores diverse approaches, including non-parametric methods leveraging prior knowledge and adaptive algorithms that balance exploration and exploitation to optimize speed and accuracy, often within network structures that model social influence. These advancements have implications for various fields, improving the reliability of estimations in noisy environments and offering insights into the dynamics of collective intelligence and decision-making in both natural and artificial systems.