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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
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Title
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-29765-7
ISBNs
978-3-03-029764-0, 978-3-03-029765-7
Editors

Kern-Isberner, Gabriele, Ognjanović, Zoran

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Geographical breakdown

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Unknown 1 100%

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Readers by professional status Count As %
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Readers by discipline Count As %
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