Nonmonotonic inference based on expectations
Artificial Intelligence
On the revision of conditional belief sets
Conditionals
Preferential reasoning in the perspective of Poole default logic
Artificial Intelligence
Statics and dynamics of induced systems
Artificial Intelligence
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
Database querying under changing preferences
Annals of Mathematics and Artificial Intelligence
Two alternatives for handling preferences in qualitative choice logic
Fuzzy Sets and Systems
From Belief Change to Preference Change
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Minimal contraction of preference relations
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Reconstructing an agent's epistemic state from observations
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A synthetic subjective preference model for collaborative design partners selection
CDVE'09 Proceedings of the 6th international conference on Cooperative design, visualization, and engineering
Updating action domain descriptions
Artificial Intelligence
Preference change triggered by belief change: a principled approach
LOFT'08 Proceedings of the 8th international conference on Logic and the foundations of game and decision theory
Preferences in AI: An overview
Artificial Intelligence
Contracting preference relations for database applications
Artificial Intelligence
A survey on representation, composition and application of preferences in database systems
ACM Transactions on Database Systems (TODS)
Reasoning about an agent based on its revision history with missing inputs
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Iterative modification and incremental evaluation of preference queries
FoIKS'06 Proceedings of the 4th international conference on Foundations of Information and Knowledge Systems
Actions, preferences, and logic programs
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
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Orderings and inference relations can be successfully used to model the behavior of a rational agent. This behavior is indeed represented either by a set of ordered pairs that reflect the agent's preferences, or by a rational inference relation that describes the agent's internal logics. In the finite case where we work, both structures admit a simple representation by means of logical chains. The problem of revising such inference processes arises when it appears necessary to modify the original model in order to take into account new facts about the agent's behavior. How is it then possible to perform the desired modification? We study here the possibilities offered by the technique of 'chain revision' which appears to be the easiest way to treat this kind of problem: the revision is performed through a simple modification of the logical chain attached to the agent's behavior, and the revision problem boils down to adding, retracting or modifying some of the links of the original chain. This perspective permits an effective treatment of the problems of both simple and multiple revision. The technique developed can also be used in some limiting cases, when the agent's inference process is only partially known, encoded by an incomplete set of preferences or a conditional knowledge base.