Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Table of Contents

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   Book Overview
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   Chapter 1 Qualitative Decision Rules under Uncertainty
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   Chapter 2 Applications of Latent Class Analysis in Social Science Research
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   Chapter 3 Transformations from Imprecise to Precise Probabilities
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   Chapter 4 A Representation Theorem and Applications
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   Chapter 5 On Modal Probability and Belief
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   Chapter 6 A Multi-layered Bayesian Network Model for Structured Document Retrieval
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   Chapter 7 Using Kappas as Indicators of Strength in Qualitative Probabilistic Networks
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   Chapter 8 Qualitative Bayesian Networks with Logical Constraints
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    Chapter 9 Introducing Situational Influences in QPNs
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    Chapter 10 Classification of Aerial Missions Using Hidden Markov Models
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    Chapter 11 Dynamic Importance Sampling Computation in Bayesian Networks
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    Chapter 12 Morphing the Hugin and Shenoy–Shafer Architectures
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    Chapter 13 Characterization of Inclusion Neighbourhood in Terms of the Essential Graph: Upper Neighbours
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    Chapter 14 Approximating Conditional MTE Distributions by Means of Mixed Trees
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    Chapter 15 Effective Dimensions of Partially Observed Polytrees
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    Chapter 16 Applying Numerical Trees to Evaluate Asymmetric Decision Problems
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    Chapter 17 Mixed Influence Diagrams
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    Chapter 18 Decision Making Based on Sampled Disease Occurrence in Animal Herds
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    Chapter 19 Decision Network Semantics of Branching Constraint Satisfaction Problems
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    Chapter 20 Web of Trust: Applying Probabilistic Argumentation to Public-Key Cryptography
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    Chapter 21 A Comparison of Methods for Transforming Belief Function Models to Probability Models
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    Chapter 22 Fuzzy Matching and Evidential Reasoning
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    Chapter 23 Modeling Positive and Negative Pieces of Evidence in Uncertainty
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    Chapter 24 Directed Evidential Networks with Conditional Belief Functions
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    Chapter 25 Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
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    Chapter 26 Risk Assessment in Drinking Water Production Using Belief Functions
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    Chapter 27 Algebraic Structures Related to the Consensus Operator for Combining of Beliefs
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    Chapter 28 Inclusion Measures in Intuitionistic Fuzzy Set Theory
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    Chapter 29 A Random Set Model for Fuzzy Labels
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    Chapter 30 On the Induction of Different Kinds of First-Order Fuzzy Rules
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    Chapter 31 Reasoning under Vagueness Expressed by Nuanced Statements
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    Chapter 32 Partial Lattice-Valued Possibilistic Measures and Some Relations Induced by Them
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    Chapter 33 Coherent Conditional Probability as a Measure of Uncertainty of the Relevant Conditioning Events
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    Chapter 34 Decision Trees and Qualitative Possibilistic Inference: Application to the Intrusion Detection Problem
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    Chapter 35 Multi-valued Conditional Events Avoid Lewis’ Triviality Result
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    Chapter 36 Solving Semantic Problems with Odd-Length Cycles in Argumentation
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    Chapter 37 On the Relation between Reiter’s Default Logic and Its (Major) Variants
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    Chapter 38 Probable Consistency Checking for Sets of Propositional Clauses
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    Chapter 39 On Iterated Revision in the AGM Framework
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    Chapter 40 Epistemic Logics for Information Fusion
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    Chapter 41 Propositional Fusion Rules
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    Chapter 42 Preferential Logics for Reasoning with Graded Uncertainty
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    Chapter 43 Paraconsistent Reasoning via Quantified Boolean Formulas, II: Circumscribing Inconsistent Theories
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    Chapter 44 Modal (Logic) Paraconsistency
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    Chapter 45 A Formal Framework for Handling Conflicting Desires
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    Chapter 46 A Sequent Calculus for Skeptical Reasoning in Predicate Default Logic (Extended Abstract)
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    Chapter 47 Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding
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    Chapter 48 ABEL: An Interactive Tool for Probabilistic Argumentative Reasoning
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    Chapter 49 The Hugin Tool for Learning Bayesian Networks