Chapter 1 Derivation Reduction of Metarules in Meta-interpretive Learning

Chapter 2 Large-Scale Assessment of Deep Relational Machines

Chapter 3 How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies?

Chapter 4 Diagnostics of Trains with Semantic Diagnostics Rules

Chapter 5 The Game of Bridge: A Challenge for ILP

Chapter 6 Sampling-Based SAT/ASP Multi-model Optimization as a Framework for Probabilistic Inference

Chapter 7 Explaining Black-Box Classifiers with ILP – Empowering LIME with Aleph to Approximate Non-linear Decisions with Relational Rules

Chapter 9 Was the Year 2000 a Leap Year? Step-Wise Narrowing Theories with Metagol

Chapter 10 Targeted End-to-End Knowledge Graph Decomposition