Uncertainty in Artificial Intelligence
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Combining Multiple-Valued Logics in Modular Expert Systems
Jaume Agustí-Cullell, Francesc Esteva, Pere Garcia, Lluis Godo, Carles Sierra
Abstract:
The way experts manage uncertainty usually changes depending on the task they are performing. This fact has lead us to consider the problem of communicating modules (task implementations) in a large and structured knowledge based system when modules have different uncertainty calculi. In this paper, the analysis of the communication problem is made assuming that (i) each uncertainty calculus is an inference mechanism defining an entailment relation, and therefore the communication is considered to be inference-preserving, and (ii) we restrict ourselves to the case which the different uncertainty calculi are given by a class of truth functional Multiple-valued Logics.
Keywords:
Pages: 17-25
PS Link:
PDF Link: /papers/91/p17-agusti-cullell.pdf
BibTex:
@INPROCEEDINGS{Agustí-Cullell91,
AUTHOR = "Jaume Agustí-Cullell and Francesc Esteva and Pere Garcia and Lluis Godo and Carles Sierra",
TITLE = "Combining Multiple-Valued Logics in Modular Expert Systems",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "17--25"
}


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