Uncertainty in Artificial Intelligence
First Name   Last Name   Password   Forgot Password   Log in!
    Proceedings   Proceeding details   Article details         Authors         Search    
Modeling uncertain and vague knowledge in possibility and evidence theories
Didier Dubois, Henri Prade
Abstract:
This paper advocates the usefulness of new theories of uncertainty for the purpose of modeling some facets of uncertain knowledge, especially vagueness, in AI. It can be viewed as a partial reply to Cheeseman's (among others) defense of probability.
Keywords:
Pages: 81-89
PS Link:
PDF Link: /papers/88/p81-dubois.pdf
BibTex:
@INPROCEEDINGS{Dubois88,
AUTHOR = "Didier Dubois and Henri Prade",
TITLE = "Modeling uncertain and vague knowledge in possibility and evidence theories",
BOOKTITLE = "Proceedings of the Fourth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1988",
PAGES = "81--89"
}


hosted by DSL   •   site info   •   help