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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
  2. Altmetric Badge
    Chapter 1 Analogical Inequalities
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    Chapter 2 Boolean Analogical Proportions - Axiomatics and Algorithmic Complexity Issues
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    Chapter 3 Evaluation of Arguments in Weighted Bipolar Graphs
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    Chapter 4 Debate-Based Learning Game for Constructing Mathematical Proofs
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    Chapter 5 Updating Probabilistic Epistemic States in Persuasion Dialogues
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    Chapter 6 From Structured to Abstract Argumentation: Assumption-Based Acceptance via AF Reasoning
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    Chapter 7 On Relating Abstract and Structured Probabilistic Argumentation: A Case Study
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    Chapter 8 Structure-Based Categorisation of Bayesian Network Parameters
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    Chapter 9 The Descriptive Complexity of Bayesian Network Specifications
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    Chapter 10 Exploiting Stability for Compact Representation of Independency Models
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    Chapter 11 Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data
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    Chapter 12 Monotonicity in Bayesian Networks for Computerized Adaptive Testing
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    Chapter 13 Expert Opinion Extraction from a Biomedical Database
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    Chapter 14 Solving Trajectory Optimization Problems by Influence Diagrams
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    Chapter 15 Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theory
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    Chapter 16 A Clustering Approach for Collaborative Filtering Under the Belief Function Framework
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    Chapter 17 A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision
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    Chapter 18 A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands
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    Chapter 19 Evidential k-NN for Link Prediction
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    Chapter 20 Ensemble Enhanced Evidential k-NN Classifier Through Random Subspaces
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    Chapter 21 Comparison of Inference Relations Defined over Different Sets of Ranking Functions
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    Chapter 22 A Transformation System for Unique Minimal Normal Forms of Conditional Knowledge Bases
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    Chapter 23 On Boolean Algebras of Conditionals and Their Logical Counterpart
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    Chapter 24 A Semantics for Conditionals with Default Negation
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    Chapter 25 Incoherence Correction and Decision Making Based on Generalized Credal Sets
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    Chapter 26 Reliable Knowledge-Based Adaptive Tests by Credal Networks
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    Chapter 27 Algorithms for Multi-criteria Optimization in Possibilistic Decision Trees
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    Chapter 28 Efficient Policies for Stationary Possibilistic Markov Decision Processes
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    Chapter 29 An Angel-Daemon Approach to Assess the Uncertainty in the Power of a Collectivity to Act
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    Chapter 30 Decision Theory Meets Linear Optimization Beyond Computation
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    Chapter 31 Axiomatization of an Importance Index for Generalized Additive Independence Models
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    Chapter 32 Probability Measures in Gödel $$_\varDelta $$ Logic
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    Chapter 33 Fuzzy Weighted Attribute Combinations Based Similarity Measures
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    Chapter 34 Online Fuzzy Temporal Operators for Complex System Monitoring
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    Chapter 35 Complexity of Model Checking for Cardinality-Based Belief Revision Operators
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    Chapter 36 A Two-Tiered Propositional Framework for Handling Multisource Inconsistent Information
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    Chapter 37 Reasoning in Description Logics with Typicalities and Probabilities of Exceptions
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    Chapter 38 Measuring Uncertainty in Orthopairs
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    Chapter 39 Possibilistic MDL: A New Possibilistic Likelihood Based Score Function for Imprecise Data
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    Chapter 40 The Complexity of Inferences and Explanations in Probabilistic Logic Programming
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    Chapter 41 Count Queries in Probabilistic Spatio-Temporal Knowledge Bases with Capacity Constraints
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    Chapter 42 RankPL: A Qualitative Probabilistic Programming Language
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    Chapter 43 Generalized Probabilistic Modus Ponens
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    Chapter 44 A First-Order Logic for Reasoning About Higher-Order Upper and Lower Probabilities
Overall attention for this book and its chapters
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Title
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-61581-3
ISBNs
978-3-31-961580-6, 978-3-31-961581-3
Editors

Alessandro Antonucci, Laurence Cholvy, Odile Papini

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2017.
All research outputs
#15,810,483
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#4,195
of 8,229 outputs
Outputs of similar age
#235,597
of 428,160 outputs
Outputs of similar age from Lecture notes in computer science
#100
of 154 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.