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Scalable Uncertainty Management

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Cover of 'Scalable Uncertainty Management'

Table of Contents

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    Book Overview
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    Chapter 1 Combinatorial Games: From Theoretical Solving to AI Algorithms
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    Chapter 2 A Gentle Introduction to Reinforcement Learning
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    Chapter 3 Possibilistic Graphical Models for Uncertainty Modeling
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    Chapter 4 On the Explanation of SameAs Statements Using Argumentation
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    Chapter 5 Reasoning with Multiple-Agent Possibilistic Logic
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    Chapter 6 Incremental Preference Elicitation in Multi-attribute Domains for Choice and Ranking with the Borda Count
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    Chapter 7 Graphical Models for Preference Representation: An Overview
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    Chapter 8 Diffusion of Opinion and Influence
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    Chapter 9 Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation
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    Chapter 10 A Belief-Based Approach to Measuring Message Acceptability
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    Chapter 11 Intertranslatability of Labeling-Based Argumentation Semantics
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    Chapter 12 Preference Inference Based on Pareto Models
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    Chapter 13 Persuasion Dialogues via Restricted Interfaces Using Probabilistic Argumentation
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    Chapter 14 Metric Logic Program Explanations for Complex Separator Functions
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    Chapter 15 A Two-Stage Online Approach for Collaborative Multi-agent Planning Under Uncertainty
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    Chapter 16 \(\exists \) -ASP for Computing Repairs with Existential Ontologies
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    Chapter 17 Probabilistic Reasoning in the Description Logic \(\mathcal {ALCP}\) with the Principle of Maximum Entropy
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    Chapter 18 Fuzzy Quantified Structural Queries to Fuzzy Graph Databases
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    Chapter 19 Reasoning with Data - A New Challenge for AI?
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    Chapter 20 Probabilistic Spatial Reasoning in Constraint Logic Programming
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    Chapter 21 ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks
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    Chapter 22 Scalable Uncertainty Management
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    Chapter 23 Forgetting-Based Inconsistency Measure
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    Chapter 24 A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm
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    Chapter 25 A Measure of Referential Success Based on Alpha-Cuts
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    Chapter 26 Graded Justification of Arguments via Internal and External Endogenous Features
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    Chapter 27 Erratum to: A Two-Stage Online Approach for Collaborative Multi-agent Planning Under Uncertainty
Attention for Chapter 17: Probabilistic Reasoning in the Description Logic \(\mathcal {ALCP}\) with the Principle of Maximum Entropy
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Chapter title
Probabilistic Reasoning in the Description Logic \(\mathcal {ALCP}\) with the Principle of Maximum Entropy
Chapter number 17
Book title
Scalable Uncertainty Management
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-45856-4_17
Book ISBNs
978-3-31-945855-7, 978-3-31-945856-4
Authors

Rafael Peñaloza, Nico Potyka

Editors

Steven Schockaert, Pierre Senellart

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Doctoral Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%