The mysterious world of normal numbers -- Bayesian Networks -- Probabilistic Query Answering in the Bayesian Description Logic BEL -- The Complexity of Plate Probabilistic Models -- DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model -- Probabilistic Models -- State Space Search with Stochastic Costs and Risk Aversion -- On the Impact of Junction-Tree Topology on Weighted Model Counting -- A System for Probabilistic Inductive Answer Set Programming -- Towards Large-Scale Probabilistic OBDA -- Reasoning over Linear Probabilistic Knowledge Bases with Priorities -- Intelligent Data Analytics -- Evenness-based reasoning with logical proportions applied to classification -- Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning -- Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model -- Linguistic and Graphical Explanation of a Cluster-based Data Structure -- Possibility Theory, Belief Functions and Transformations -- Probability-possibility transformations: Application to credal networks -- Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics -- Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks -- Uncertain logical gates in possibilistic networks. An application to human geography -- Argumentation -- Undercutting in argumentation systems -- Formalizing Explanatory Dialogues -- Towards a dual process cognitive model for argument evaluation -- Change in abstract bipolar argumentation systems -- On argumentation with purely defeasible rules -- Dealing with Inconsistency -- A possibilistic analysis of inconsistency -- First-Order Under-Approximations of Consistent Query Answers -- Using Rules of Thumb for Repairing Inconsistent Answer Set Program -- Applications -- Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models -- ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution -- Matching uncertain identities against sparse knowledge.