Inductive Logic Programming: 31st International Conference, ILP 2022, Windsor Great Park, UK, September...

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Stephen H. Muggleton Alireza Tamaddoni-Nezhad

Inductive Logic Programming

31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings...

Stephen H. Muggleton, Alireza Tamaddoni-Nezhad

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English

Springer International Publishing AG
20 March 2024

Computer hardware; Compilers; Mathematical theory of computation; Artificial intelligence

Series: Lecture Notes in Artificial Intelligence

This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 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, learning temporal models, synthesis and planning, and argumentation and language.

Edited by: Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Volume: 13779
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031556296
ISBN 10: 3031556291
Series: Lecture Notes in Artificial Intelligence
Pages: 157
Publication Date: 20 March 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Learning the Parameters of Probabilistic Answer Set Programs.- Navigable atom-rule interactions in PSL models enhanced by rule verbalizations, with an application to etymological inference.- A Program-Synthesis Challenge for ARC-like Tasks.- Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust.- Learning Automata-Based Complex Event Patterns in Answer Set Programming.- Learning Hierarchical Problem Networks for Knowledge-Based Planning.- Combining word embeddings-based similarity measures for transfer learning across relational domains.- Learning Assumption-based Argumentation Frameworks.- Diagnosis of Event Sequences with LFIT.- Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment.- Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies.