What does a conditional knowledge base entail?
Artificial Intelligence
Conditional entailment: bridging two approaches to default reasoning
Artificial Intelligence
On the logic of iterated belief revision
Artificial Intelligence
Modeling agents as qualitative decision makers
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Dynamic belief revision operators
Artificial Intelligence
On the revision of preferences and rational inference processes
Artificial Intelligence
Modeling belief in dynamic systems part II: revision and update
Journal of Artificial Intelligence Research
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On the logic of iterated non-prioritised revision
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Dynamic interactions between goals and beliefs
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Belief extrapolation (or how to reason about observations and unpredicted change)
Artificial Intelligence
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
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
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We look at the problem in belief revision of trying to make inferences about what an agent believed - or will believe - at a given moment, based on an observation of how the agent has responded to some sequence of previous belief revision inputs over time. We adopt a "reverse engineering" approach to this problem. Assuming a framework for iterated belief revision which is based on sequences, we construct a model of the agent that "best explains" the observation. Further considerations on this best-explaining model then allow inferences about the agent's epistemic behaviour to be made. We also provide an algorithm which computes this best explanation.