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E-grāmata: Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21-24, 2021, Proceedings

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This book constitutes the refereed proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021, held in Prague, Czech Republic, in September 2021.





The 48 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections about argumentation and analogical reasoning, Bayesian networks and graphical models, belief functions, imprecise probability, inconsistency handling and preferences, possibility theory and fuzzy approaches, and probability logic.
Argumentation and Analogical Reasoning.- Analogies between sentences: 
Theoretical aspects - preliminary experiments.- Non-Monotonic Explanation
Functions.- Similarity Measures based on Compiled Arguments.- Necessary and
Sufficient Explanations for Argumentation-Based Conclusions.- Addressing
Popular Concerns regarding  COVID-19 Vaccination with Natural Language
Argumentation Dialogues.- Argument Strength in Probabilistic Argumentation
using Confirmation Theory.- The Degrees of Monotony-Dilemma in Abstract
Argumentation.- Constrained Incomplete Argumentation Frameworks.- Complexity
of Nonemptiness in Control Argumentation Frameworks.- Generalizing Complete
Semantics to Bipolar Argumentation Frameworks.- Philosophical reflections on
Argument Strength and Gradual Acceptability.- An Abstract Argumentation and
Logic Programming Comparison Based on 5-Valued Labellings.- Assumption-Based
Argumentation is Logic Programming with Projection.- A Paraconsistent
Approach to Deal with Epistemic Inconsistencies in Argumentation.- Gradual
Semantics for Weighted Bipolar SETAFs.- Bayesian Networks and Graphical
Models.- Multi-Task Transfer Learning for Bayesian Networks Structures.-
Persuasive Contrastive Explanations for Bayesian networks.- Explainable AI
using MAP-independence.- Bayesian networks for the test score prediction: a
case study on a math graduation exam.- Fine-Tuning the odds for Bayes
networks.- Cautious Classification with Data Missing Not at Random using
Generative Random Forests.- Belief Functions.- Scoring rules for Belief
Functions and Imprecise Probabilities: A Comparison.- Comparison of Shades
and Hiddenness of Conflict.- Games of Incomplete Information: a Framework
Based on Belief Functions.- Uncertainty-aware resampling method for
imbalanced classification using Evidence Theory.- Approximations of belief
functions using compositional models.- Dempster-Shafer Approximations and
Probabilistic Bounds in Statistical Matching.- The vehicle routing problem
with time windows and evidential service and travel times: A recourse model.-
Imprecise probability.- A New Score for Adaptive Tests in Bayesian and Credal
Networks.- Multi-label chaining with imprecise probabilities.- Centroids of
credal sets: a comparative study.- The Smallest Probability Interval a
Sequence Is Random for: a Study for Six Types of Randomness.- Inconsistency
Handling and Preferences.- Explanation with the Winter Value: Efficient
Computation for Hierarchical Choquet Integrals.- Inducing Inference Relations
from Inconsistency Measures.- Merging Epistemic States and Manipulation.- The
Degree of Conflict between Formulas  in An Inconsistent Knowledge Base.-
Possibility Theory and Fuzzy Approaches.- Representation of Explanations of
Possibilistic Inference Decisions.- Towards a tesseract of Sugeno integrals.-
Canonical Extension of Possibility Measures to Boolean Algebras of
Conditionals.- On the KLM properties of afuzzy DL with Typicality.-
Probability Logic.- Trust Evidence Logic.- Generalized Rules of Probabilistic
Independence.- Algebras of Sets and Coherent Sets of Gambles.- A
Probabilistic Deontic Logic.-Iterated Conditionals and Characterization of
P-entailment.- A Triple Uniqueness of the Maximum Entropy Approach.- A Logic
and Computation for Poppers Conditional Probabilities.- Interpreting
connexive principles in coherence-based probability logic.