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Symbolic and Quantitative Approaches to Reasoning with Uncertainty

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Cover of 'Symbolic and Quantitative Approaches to Reasoning with Uncertainty'

Table of Contents

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    Book Overview
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    Chapter 1 Similarity Measures Between Arguments Revisited
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    Chapter 2 A New Generic Framework for Mediated Multilateral Argumentation-Based Negotiation Using Case-Based Reasoning
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    Chapter 3 Interpretability of Gradual Semantics in Abstract Argumentation
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    Chapter 4 An Imprecise Probability Approach for Abstract Argumentation Based on Credal Sets
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    Chapter 5 A Model-Based Theorem Prover for Epistemic Graphs for Argumentation
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    Chapter 6 Discussion Games for Preferred Semantics of Abstract Dialectical Frameworks
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    Chapter 7 Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation
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    Chapter 8 Ordering Argumentation Frameworks
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    Chapter 9 Constructing Bayesian Network Graphs from Labeled Arguments
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    Chapter 10 Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory
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    Chapter 11 Belief Functions and Degrees of Non-conflictness
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    Chapter 12 On Expected Utility Under Ambiguity
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    Chapter 13 Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences
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    Chapter 14 A New Perspective on Analogical Proportions
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    Chapter 15 On the Antecedent Normal Form of Conditional Knowledge Bases
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    Chapter 16 Revisiting Conditional Preferences: From Defaults to Graphical Representations
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    Chapter 17 Conjunction of Conditional Events and t-Norms
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    Chapter 18 Reasoning About Exceptions in Ontologies: An Approximation of the Multipreference Semantics
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    Chapter 19 Computation of Closures of Nonmonotonic Inference Relations Induced by Conditional Knowledge Bases
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    Chapter 20 Solving Word Analogies: A Machine Learning Perspective
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    Chapter 21 Decrement Operators in Belief Change
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    Chapter 22 A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models
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    Chapter 23 Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion
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    Chapter 24 An Effective Maintenance Policy for a Multi-component Dynamic System Using Factored POMDPs
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    Chapter 25 Epistemic Sets Applied to Best-of- n Problems
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    Chapter 26 Multi-task Transfer Learning for Timescale Graphical Event Models
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    Chapter 27 Explaining Completions Produced by Embeddings of Knowledge Graphs
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    Chapter 28 Efficient Algorithms for Minimax Decisions Under Tree-Structured Incompleteness
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    Chapter 29 A Probabilistic Graphical Model-Based Approach for the Label Ranking Problem
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    Chapter 30 Sure-Wins Under Coherence: A Geometrical Perspective
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    Chapter 31 Conditioning of Imprecise Probabilities Based on Generalized Credal Sets
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    Chapter 32 Probabilistic Logic for Reasoning About Actions in Time
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    Chapter 33 Towards a Standard Completeness for a Probabilistic Logic on Infinite-Valued Events
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    Chapter 34 Bayesian Confirmation and Justifications
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    Chapter 35 Probability Propagation in Selected Aristotelian Syllogisms
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    Chapter 36 Structural Fusion/Aggregation of Bayesian Networks via Greedy Equivalence Search Learning Algorithm
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    Chapter 37 On Irreducible Min-Balanced Set Systems
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    Chapter 38 A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains
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    Chapter 39 Probabilistic Consensus of the Blockchain Protocol
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    Chapter 40 Measuring Investment Opportunities Under Uncertainty
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    Chapter 41 Balancing Schedules Using Maximum Leximin
Attention for Chapter 10: Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory
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Chapter title
Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory
Chapter number 10
Book title
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-29765-7_10
Book ISBNs
978-3-03-029764-0, 978-3-03-029765-7
Authors

Safa Ben Ayed, Zied Elouedi, Eric Lefevre, Ben Ayed, Safa, Elouedi, Zied, Lefevre, Eric

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 4 80%
Unknown 1 20%