Symbolic and Quantitative Approaches to Reasoning with Uncertainty

.- Bayesian Networks. .- Inverse Marginalisation for Safely Expanding Bayesian Networks. .- Classifying Control Room Operators’ Performance Using Bayesian Networks. .- Wrong Data Detection in Electricity Grids Using Bayesian Networks. .- Maximum Entropy-based Quantification for Probability Elicitation in Bayesian Networks. .- Involving Uncertainty in Bayesian Network Tuning. .- Learning and Probability. .- Discrete Minimax Probabilistic Classifier Chains for Multi-Label Classification Under Label Imbalance. .- Noise-Robust Weighted Logistic Regression Based on Outlier Detection with Expectation Maximization. .- From RBMs to BN2A models: Parameter Transformation for Interpretable Educational Diagnostics. .- Denoising the Future: Top-p Distributions for Moving Through Time. .- Distortions of lower probabilities as a tool for avoiding conflict. .- Analogical proportions between probabilities. .- Robust Explanations: The Case of Prime Implicants. .- Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation. .- Arithmetic Circuit Compilation using Symbolic Probabilistic Inference and Indicator-Determined Buckets. .- Game Theory and Social Choice. .- Counting Agents in Partially Observable Stochastic Games. .- Expected Shapley Value is Shapley Value for Expected Utility Game. .- Upper Expected Meeting Times for Interdependent Stochastic Agents. .- Elicit and Weigh: A Voting-Based Approach to Optimal Weights in Imprecise Linear Pooling. .- Conditionals, Inference, Change. .- Gärdenfors’s Supplementary Postulates for Partial Product Contractions. .- Explaining Changes in Total Preorders and Ranking Functions. .- Implementing Lexicographic Inference Using Partial MaxSAT. .- Conditional Logics of Nondeterministic Change. .- Towards an algebraic and probabilistic setting for iterated Boolean conditionals. .- On measuring the possibility of selection-function based conditionals, general updates, and qualitative capacities. .- Possibilistic logic and inference for linear systems. .- Argumentation. .- Assumption-Based Argumentation for General Extended Disjunctive Logic Programming with Negation as Failure in the Head. .- Winning by Numbers: Connecting Strong Admissibility to Optimal Play in Argumentation. .- First steps towards forgetting in ASPIC+. .- Strong Admissibility and Infinite Argumentation Frameworks. .- Recognizing the Impact among Relevant Elements for Reaching Stability in Incomplete Argumentation Frameworks. .- Logic and Inconsistency. .- Privacy-Preserving Inconsistency Measurement. .- Using Sentence Embeddings to Identify Conflicts in Propositional Logic. .- Dynamic Logic for Quantum Probability. .- A Kripke Semantics for Monadic BL Chains.