Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings         Authors   Author's Info   Article details         Search    
Evaluation of Uncertain Inference Models I: PROSPECTOR
Robert Yadrick, Bruce Perrin, David Vaughan, Peter Holden, Karl Kempf
Abstract:
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.
Keywords: PROSPECTOR Model, Inference Networks, Probability Theory
Pages: 333-338
PS Link:
PDF Link: /papers/86/p333-yadrick.pdf
BibTex:
@INPROCEEDINGS{Yadrick86,
AUTHOR = "Robert Yadrick and Bruce Perrin and David Vaughan and Peter Holden and Karl Kempf",
TITLE = "Evaluation of Uncertain Inference Models I: PROSPECTOR",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "333--338"
}


hosted by DSL   •   site info   •   help