Uncertainty and vagueness in knowledge based systems
Uncertainty and vagueness in knowledge based systems
Update Postulates without Inertia
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
A probabilistic model of plan recognition
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Object recognition with imperfect perception and redundant description
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Filtering vs Revision and Update: Let Us Debate!
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
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The situation assessment problem is considered, in terms of object, condition, activity, and plan recognition, based on data coming from the realword via various sensors. It is shown that uncertainty issues are linked both to the models and to the matching algorithm. Three different types of uncertainties are identified, and within each one, the numerical and the symbolic cases are distinguished. The emphasis is then put on purely symbolic uncertainties: it is shown that they can be dealt with within a purely symbolic framework resulting from a transposition of classical numerical estimation tools.