Titlebook: Inductive Logic Programming; 31st International C Stephen H. Muggleton,Alireza Tamaddoni-Nezhad Conference proceedings 2024 The Editor(s) (

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,Diagnosis of Event Sequences with LFIT,te transitions. As a way to tackle diagnosis, we extend the theory of LFIT to model event sequences and their temporal properties. It allows to learn logic rules that exploit those properties to explain sequences of interest. We show how it can be done in practice through a case study.

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Conference proceedings 20248-30, 2022..The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions .The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learnin

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,Learning Hierarchical Problem Networks for Knowledge-Based Planning,ng this expertise from sample solutions. In this framework, procedural knowledge comprises a set of conditional methods that decompose problems – sets of goals – into subproblems. Problem solving involves search through a space of hierarchical plans that achieve top-level goals. Acquisition involves

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