Modeling agents as qualitative decision makers
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Diverse confidence levels in a probabilistic semantics for conditional logics
Artificial Intelligence
Nonstandard numbers for qualitative decision making
TARK '98 Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge
A general non-probabilistic theory of inductive reasoning
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
A Qualitative Linear Utility Theory for Spohn's Theory of Epistemic Beliefs
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
A unified framework for order-of-magnitude confidence relations
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Qualitative decision under uncertainty: back to expected utility
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On transformations between probability and spohnian disbelief functions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Qualitative MDPs and POMDPs: an order-of-magnitude approximation
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Qualitative decision theory with Sugeno integrals
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
An order of magnitude calculus
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Arguing for decisions: a qualitative model of decision making
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
From conditional oughts to qualitative decision theory
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Lexicographic Refinements of Sugeno Integrals
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Capacity Refinements and Their Application to Qualitative Decision Evaluation
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Schur-concave triangular norms: Characterization and application in pFCSP
Fuzzy Sets and Systems
Qualitative test-cost sensitive classification
Pattern Recognition Letters
The role of fuzzy sets in decision sciences: Old techniques and new directions
Fuzzy Sets and Systems
Hi-index | 0.00 |
Different qualitative models have been proposed for decision under uncertainty in Artificial Intelligence, but they generally fail to satisfy the principle of strict Pareto dominance or principle of ''efficiency'', in contrast to the classical numerical criterion-expected utility. Among the most prominent examples of qualitative models are the qualitative possibilistic utilities (QPU) and the order of magnitude expected utilities (OMEU). They are both appealing but inefficient in the above sense. The question is whether it is possible to reconcile qualitative criteria and efficiency. The present paper shows that the answer is yes, and that it leads to special kinds of expected utilities. It is also shown that although numerical, these expected utilities remain qualitative: they lead to different decision procedures based on min, max and reverse operators only, generalizing the leximin and leximax orderings of vectors.