Uncertainty in Artificial Intelligence

Ending-Based Strategies for Part-of-Speech TaggingAn Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data SetsProbabilistic Constraint Satisfaction with Non-Gaussian NoiseA Bayesian Method ReexaminedLaplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous VariablesGenerating New Beliefs from OldCounterfactual Probabilities: Computational Methods, Bounds and ApplicationsModus Ponens Generating Function in the Class of Λ-Valuations of PlausibilityApproximation Algorithms for the Loop Cutset ProblemPossibility and Necessity Functions Over Non-Classical LogicsExploratory Model BuildingLearning in Multi-Level Stochastic Games with Delayed InformationPlanning with External EventsProperties of Bayesian Belief Network Learning AlgorithmsA Stratified Simulation Scheme for Inference in Bayesian Belief NetworksProposal: Interactive Media for Research in UncertaintyEfficient Estimation of the Value of Information in Monte Carlo ModelsSymbolic Probabilistic Inference in Large BN20 NetworksAction Networks: A Framework for Reasoning About Actions and Change Under UncertaintyOn the Relation Between Kappa Calculus and Probabilistic ReasoningA Structured, Probabilistic Representation of ActionIntegrating Planning and Execution in Stochastic DomainsLocalized Partial Evaluation of Belief NetworksA Probablistic Model of Action for Least-Commitment Planning with Information GatheringSome Properties of Joint Probability DistributionsAn Ordinal View of Independence with Application to Plausible ReasoningPenalty Logic and its Link with Dempster-Shafer TheoryValue of Evidence on Influence DiagramsConditional Independence in Possibility TheoryBackward Simulation in Bayesian NetworksLearning Gaussian NetworksOn Testing Whether an Embedded Bayesian Network Represents a Probability ModelEpsilon-Safe PlanningGenerating Bayesian Networks from Probablity Logic Knowledge BasesAbstracting Probabilistic ActionsOn Modal Logics for Qualitative Possibility in a Fuzzy SettingA New Look at Causal IndependenceLearning Bayesian Networks: The Combination of Knowledge and Statistical DataA Decision-Based View of CausalityProbabilistic Description LogicsAn Experimental Comparison of Numerical and Qualitative Probabilistic ReasoningAn Alternative Proof Method for Possibilistic Logic and its Application to Terminological LogicsPossibilistic Conditioning and PropagationThe Automated Mapping of Plans for Plan RecognitionA Logic for Default Reasoning About ProbabilitiesOptimal Junction TreesFrom Influence Diagrams to Junction TreesReduction of Computational Complexity in Bayesian Networks Through Removal of Weak DependencesUsing New Data to Refine a Bayesian NetworkSyntax-Based Default Reasoning as Probabilistic Model-Based DiagnosisInduction of Selective Bayesian ClassifiersFuzzy Geometric Relations to Represent Hierarchical Spatial InformationConstructing Belief Networks to Evaluate PlansOperator Selection While Planning Under UncertaintyModel-Based Diagnosis with Qualitative Temporal UncertaintyIncremental Dynamic Construction of Layered Polytree NetworksModels of Consensus for Multiple Agent SystemsA Probabilistic Calculus of ActionsRobust Planning in Uncertain EnvironmentsAnytime Decision Making with Imprecise ProbabilitiesThree Approaches to Probability Model SelectionKnowledge Engineering for Large Belief NetworksSolving Asymmetric Decision Problems with Influence DiagramsBelief Maintenance in Bayesian NetworksBelief Updating by Enumerating High-Probability Independence-Based AssignmentsGlobal Conditioning for Probabilistic Inference in Belief NetworksBelief Induced by the Partial Knowledge of the ProbabilitiesIgnorance and the Expressiveness of Single- and Set-Valued Probability Models of BeliefA Probabilistic Approach to Hierarchical Model-Based DiagnosisSemigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence ModelsExceptional Subclasses in Qualitative ProbabilityA Defect in Dempster-Shafer TheoryState-Space Abstraction for Anytime Evaluation of Probabilistic NetworksGeneral Belief MeasuresGenerating Graphoids from Generalised Conditional ProbabilityOn Axiomatization of Probabilistic Conditional IndependenciesEvidential Reasoning with Conditional Belief FunctionsIntercausal Independence and Heterogeneous FactorizationAuthor Index