Titlebook: Scalable Uncertainty Management; First International Henri Prade,V. S. Subrahmanian Conference proceedings 2007 Springer-Verlag Berlin Hei

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Probabilistic Planning in Hybrid Probabilistic Logic Programs,n addition, we show that any probabilistic planning problem, ., can be encoded as a classical logic program with answer set semantics, whose answer sets corresponds to valid trajectories in .. We also show that probabilistic planning problems can be encoded as proportional satisfiability problems.

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Managing Uncertainty in Schema Matcher Ensembles,ning in determining the best mapping and discuss its pros and cons. Finally, we provide a thorough empirical analysis, using both real-world and synthetic data, to test the proposed technique. We conclude that the proposed heuristic performs well, given an accurate modeling of uncertainty in matcher decision making.

ETHER

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Learning from Imprecise Granular Data Using Trapezoidal Fuzzy Set Representations,ervations have on the quality of our estimates. We suggest an approach to addressing this problem using the specificity of the observations to control its effect. Throughout this work particular emphasis is placed on the simplicity of working with trapezoids while still retaining a rich representational capability.

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