Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Impediments to universal preference-based default theories
Artificial Intelligence - Special issue on knowledge representation
Epistemic entrenchment and possibilistic logic
Artificial Intelligence
What does a conditional knowledge base entail?
Artificial Intelligence
Nonmonotonic inference based on expectations
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Nonmonotonic reasoning, conditional objects and possibility theory
Artificial Intelligence
Logical representation and computation of optimal decisions in a qualitative setting
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Using possibilistic logic for modeling qualitative decision: ATMS-based algorithms
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FAIR '91 Proceedings of the International Workshop on Fundamentals of Artificial Intelligence Research
Towards a Possibilistic Logic Handling of Preferences
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Axiomatic Foundations for Qualitative/Ordinal Decisions with Partial Preferences
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
A Possibilistic Planner that Deals with Non-Determinism and Contingency
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
New Semantics for Quantitative Possibility Theory
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
System Z: A Natural Ordering of Defaults with Tractable Applications to Nonmonotonic Reasoning
Proceedings of the 3rd Conference on Theoretical Aspects of Reasoning about Knowledge
Defining relative likelihood in partially-ordered preferential structures
Journal of Artificial Intelligence Research
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IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Plausibility measures and default reasoning
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Qualitative models for decision under uncertainty without the commensurability assumption
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Qualitative decision theory with Sugeno integrals
UAI'98 Proceedings of the Fourteenth 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
Logic programming with ordered disjunction
Eighteenth national conference on Artificial intelligence
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The paper survey recent AI-oriented works in qualitative decision developed by the authors in the framework of possibility theory. Lottery-based and act-based axiomatics underlying pessimistic and optimistic criteria for decision under uncertainty are first briefly restated, when uncertainty and preferences are encoded with an ordinal scale. A logical machinery capable of computing optimal decisions in the sense of these criteria is presented. Then an approach to qualitative decision under uncertainty which does not require a commensurateness hypothesis between the uncertainty and the preference scales is proposed; this approach is closely related to nonmonotonic reasoning, but turns our to be ineffective for practical decision. Lastly, the modeling of preference as prioritized sets of goals, as sets of solutions reaching some given level of satisfaction, or in terms of possibilistic constraints is discussed briefly.