Arthur Dempster (mathematician)

Arthur Dempster is an influential mathematician known for his contributions to statistics and computer science, particularly in the development of Dempster-Shafer theory. This theory provides a framework for reasoning and making decisions under uncertainty, allowing for the combination of different pieces of evidence to draw conclusions. Unlike traditional probability, Dempster-Shafer theory enables the representation of ignorance and partial knowledge, making it highly applicable in fields like artificial intelligence, risk assessment, and decision-making. Dempster's work has significantly impacted how we analyze uncertain information in complex situations.