Knowledge Representation for AI -- Tight Integration of Rule-Based Tools in Game Development -- A Comparison of MCMC Sampling for Probabilistic Logic Programming -- Augmenting Datalog+- with Customizable Metalogic Features for Powerful Ontological Reasoning -- Memory Management in Resource-Bounded Agents -- A Rule-based System for Hardware Configuration and Programming of IoT Devices -- First Approach to Semantics of Silence in Testimonies -- Hybrid Semantics-aware Recommendations Exploiting Knowledge Graph Embeddings -- Strongly Equivalent Epistemic Answer Set Programs -- From simplified Kripke-style semantics to simplified analytic tableaux for some normal modal logics -- AI and Computation -- Automated Planning Encodings for the Manipulation of Articulated Objects in 3D with Gravity -- Frequency Assignment in High Performance Computing Systems -- PRONOM: proof-search and countermodel generation for Non-Normal Modal Logics -- Partitioned Least Squares -- Number of Minimal Hypergraph Transversals and Complexity of of IFM with Infrequency: high in theory, but often not so much in practice! -- Handling Modifiers in Question Answering over Knowledge Graphs -- A graphical analysis of integer infeasibility in UTVPI constraints -- Multi-Agent Path Finding with Capacity Constraints -- Evaluating Robustness of an Acting Framework Over Temporally Uncertain Domains -- On the Configuration of SAT Formulae -- Towards Effective Device-Aware Federated Learning -- Machine Learning for AI -- Performance-driven Handwriting Task Selection for Parkinson's Disease Classication -- A non-negative factorization approach to node pooling in graph convolutional neural networks -- Winograd Convolution for DNNs: Beyond linear polynomials -- A Deep Hybrid Model for Recommendation Systems -- Kernel-based Generative Adversarial Networks for Weakly Supervised Learning -- Activity Prediction of Business Process Instances with Inception CNN Models -- Question Classification with Untrained Recurrent Embeddings -- Prediction of Decline in Activities of Daily Living Through Deep Artificial Neural Networks and Domain Adaptation -- Capturing Frame-like Object Descriptors in Human Augmented Mapping -- Verification and Repair of Neural Networks: a Progress Report on Convolutional Models -- Learning Activation Functions by means of Kernel Based Neural Networks -- Leveraging Multi-task Learning for Biomedical Named Entity Recognition -- Applying Self-Interaction Attention for Extracting Drug-Drug Interactions -- Learning abstract planning domains and mappings to real world perceptions -- Measuring the Polarization of Hate Speech Annotation -- AI and Humans -- Manipulating an Election in Social Networks through Edge Addition -- Shared-Autonomy Navigation for mobile robots driven by a door detection module -- Toward Automated Courseware Production for the ExPLoRAA Tutoring Environment -- Artificial Intelligence for dramatic performance -- Periodicity Detection of Emotional Communities in Microblogging.-Mapping Lexical Knowledge to Distributed Representations for Ontology Concept Invention. .

This book constitutes the proceedings of the XVIIIth International Conference of the Italian Association for Artificial Intelligence, AI*IA 2019, held in Rende, Italy, in November 2019. The 41 full papers were carefully reviewed and selected from 67 submissions. The papers have been organized in the following topical sections: Knowledge Representation for AI, AI and Computation, Machine Learning for AI, and AI and Humans.