Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 1st ed. 2021 16th European Conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021, Proceedings Lecture Notes in Artificial Intelligence Series

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 Popper’s Conditional Probabilities.- Interpreting connexive principles in coherence-based probability logic.