Halpern and colleagues have shown that probability-like functions satisfying weaker axiom sets (e.g., Dempster-Shafer belief functions) can coherently relate evidential support in both directions without collapsing into classical probability.
?Rate how convincing each reason is below to see the overall strength.
No one has weighed in yet. Be the first to share reasons for or against this statement.
Sign in or register to share your perspective on this statement.
A mathematical system for measuring uncertainty that allows you to assign confidence levels to possibilities without committing fully to traditional probability rules; useful when evidence doesn't neatly fit classical probability.
Evidential support(as what the functions measure)
The strength and quality of reasons or evidence that suggests something is true or false.
Halpern(as a researcher referenced in probability theory)
Joseph Halpern is a computer scientist and logician who studies how we reason about uncertainty and probability, especially in artificial intelligence and decision-making.
Probability-like functions(as the main subject being discussed)
Mathematical tools that measure how likely something is to be true, similar to probability but not necessarily following all the traditional rules of classical probability.