Evaluation of Uncertain Inference Models I: PROSPECTOR

03/27/2013
by   Robert M. Yadrick, et al.
0

This paper examines the accuracy of the PROSPECTOR model for uncertain reasoning. PROSPECTOR's solutions for a large number of computer-generated inference networks were compared to those obtained from probability theory and minimum cross-entropy calculations. PROSPECTOR's answers were generally accurate for a restricted subset of problems that are consistent with its assumptions. However, even within this subset, we identified conditions under which PROSPECTOR's performance deteriorates.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset