Logical Representation and Computation of Optimal Decisions in a Qualitative Setting
Abstract
This paper describes a logical machinery for comput-ing decisions based on an ATMS procedure, where the available knowledge on the state of the world is de-scribed by a possibilistic propositional logic base (i.e., a collection of logical statements associated with quali-tative certainty levels). The preferences of the user are also described by another possibilistic logic base whose formula weights are interpreted in terms of priorities and formulas express goals. Two attitudes are allowed for the decision maker: a pessimistic uncertainty-averse one and an optimistic one. The computed ecisions are in agreement with a qualitative counterpart to classical expected utility theory for decision under uncertainty.
Cite
Text
Dubois et al. "Logical Representation and Computation of Optimal Decisions in a Qualitative Setting." AAAI Conference on Artificial Intelligence, 1998.Markdown
[Dubois et al. "Logical Representation and Computation of Optimal Decisions in a Qualitative Setting." AAAI Conference on Artificial Intelligence, 1998.](https://mlanthology.org/aaai/1998/dubois1998aaai-logical/)BibTeX
@inproceedings{dubois1998aaai-logical,
title = {{Logical Representation and Computation of Optimal Decisions in a Qualitative Setting}},
author = {Dubois, Didier and Le Berre, Daniel and Prade, Henri and Sabbadin, Régis},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1998},
pages = {588-593},
url = {https://mlanthology.org/aaai/1998/dubois1998aaai-logical/}
}