Uncertainty in Artificial Intelligence
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, University of Washington, Seattle, July 29-31, 1994
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Uncertainty in Artificial Intelligence: Proceedings of the Tenth Conference (1994) covers the papers accepted for presentation at the Tenth Annual Conference on Uncertainty in Artificial Intelligence, held in Seattle, Washington on July 29-31, 1994. The book focuses on the processes, methodologies, and approaches involved in artificial intelligence, including approximations, computational methods, Bayesian networks, and probabilistic inference. The selection first offers information on ending-based strategies for part-of-speech tagging; an evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets; and probabilistic constraint satisfaction with non-Gaussian noise. The text then examines Laplace's method approximations for probabilistic inference in belief networks with continuous variables; computational methods, bounds, and applications of counterfactual probabilities; and approximation algorithms for the loop cutset problem. The book takes a look at learning in multi-level stochastic games with delayed information; properties of Bayesian belief network learning algorithms; and the relation between kappa calculus and probabilistic reasoning. The manuscript also elaborates on intercausal independence and heterogeneous factorization; evidential reasoning with conditional belief functions; and state-space abstraction for anytime evaluation of probabilistic networks. The selection is a valuable reference for researches interested in artificial intelligence.
Table of Contents
Ending-Based Strategies for Part-of-Speech Tagging
An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets
Probabilistic Constraint Satisfaction with Non-Gaussian Noise
A Bayesian Method Reexamined
Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables
Generating New Beliefs from Old
Counterfactual Probabilities: Computational Methods, Bounds and Applications
Modus Ponens Generating Function in the Class of Λ-Valuations of Plausibility
Approximation Algorithms for the Loop Cutset Problem
Possibility and Necessity Functions Over Non-Classical Logics
Exploratory Model Building
Learning in Multi-Level Stochastic Games with Delayed Information
Planning with External Events
Properties of Bayesian Belief Network Learning Algorithms
A Stratified Simulation Scheme for Inference in Bayesian Belief Networks
Proposal: Interactive Media for Research in Uncertainty
Efficient Estimation of the Value of Information in Monte Carlo Models
Symbolic Probabilistic Inference in Large BN20 Networks
Action Networks: A Framework for Reasoning About Actions and Change Under Uncertainty
On the Relation Between Kappa Calculus and Probabilistic Reasoning
A Structured, Probabilistic Representation of Action
Integrating Planning and Execution in Stochastic Domains
Localized Partial Evaluation of Belief Networks
A Probablistic Model of Action for Least-Commitment Planning with Information Gathering
Some Properties of Joint Probability Distributions
An Ordinal View of Independence with Application to Plausible Reasoning
Penalty Logic and its Link with Dempster-Shafer Theory
Value of Evidence on Influence Diagrams
Conditional Independence in Possibility Theory
Backward Simulation in Bayesian Networks
Learning Gaussian Networks
On Testing Whether an Embedded Bayesian Network Represents a Probability Model
Epsilon-Safe Planning
Generating Bayesian Networks from Probablity Logic Knowledge Bases
Abstracting Probabilistic Actions
On Modal Logics for Qualitative Possibility in a Fuzzy Setting
A New Look at Causal Independence
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
A Decision-Based View of Causality
Probabilistic Description Logics
An Experimental Comparison of Numerical and Qualitative Probabilistic Reasoning
An Alternative Proof Method for Possibilistic Logic and its Application to Terminological Logics
Possibilistic Conditioning and Propagation
The Automated Mapping of Plans for Plan Recognition
A Logic for Default Reasoning About Probabilities
Optimal Junction Trees
From Influence Diagrams to Junction Trees
Reduction of Computational Complexity in Bayesian Networks Through Removal of Weak Dependences
Using New Data to Refine a Bayesian Network
Syntax-Based Default Reasoning as Probabilistic Model-Based Diagnosis
Induction of Selective Bayesian Classifiers
Fuzzy Geometric Relations to Represent Hierarchical Spatial Information
Constructing Belief Networks to Evaluate Plans
Operator Selection While Planning Under Uncertainty
Model-Based Diagnosis with Qualitative Temporal Uncertainty
Incremental Dynamic Construction of Layered Polytree Networks
Models of Consensus for Multiple Agent Systems
A Probabilistic Calculus of Actions
Robust Planning in Uncertain Environments
Anytime Decision Making with Imprecise Probabilities
Three Approaches to Probability Model Selection
Knowledge Engineering for Large Belief Networks
Solving Asymmetric Decision Problems with Influence Diagrams
Belief Maintenance in Bayesian Networks
Belief Updating by Enumerating High-Probability Independence-Based Assignments
Global Conditioning for Probabilistic Inference in Belief Networks
Belief Induced by the Partial Knowledge of the Probabilities
Ignorance and the Expressiveness of Single- and Set-Valued Probability Models of Belief
A Probabilistic Approach to Hierarchical Model-Based Diagnosis
Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models
Exceptional Subclasses in Qualitative Probability
A Defect in Dempster-Shafer Theory
State-Space Abstraction for Anytime Evaluation of Probabilistic Networks
General Belief Measures
Generating Graphoids from Generalised Conditional Probability
On Axiomatization of Probabilistic Conditional Independencies
Evidential Reasoning with Conditional Belief Functions
Intercausal Independence and Heterogeneous Factorization
Author Index
Product details
- No. of pages: 614
- Language: English
- Copyright: © Morgan Kaufmann 1994
- Published: July 1, 1994
- Imprint: Morgan Kaufmann
- eBook ISBN: 9781483298603
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