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Inductive Logic Programming

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

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Stephen H. Muggleton

    1. Imperial College London, London, UK

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    You can also search for this editor in PubMed   Google Scholar

  2. Alireza Tamaddoni-Nezhad

    1. University of Surrey, Guildford, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13779)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ILP 2022.

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Table of contents (11 papers)

  1. Front Matter

    Pages I-X
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  2. Learning the Parameters of Probabilistic Answer Set Programs

    • Damiano Azzolini, Elena Bellodi, Fabrizio Riguzzi
    Pages 1-14

  3. Navigable Atom-Rule Interactions in PSL Models Enhanced by Rule Verbalizations, with an Application to Etymological Inference

    • Verena Blaschke, Thora Daneyko, Jekaterina Kaparina, Zhuge Gao, Johannes Dellert
    Pages 15-24

  4. A Program-Synthesis Challenge for ARC-Like Tasks

    • Aditya Challa, Ashwin Srinivasan, Michael Bain, Gautam Shroff
    Pages 25-39

  5. Explaining with Attribute-Based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust

    • Bettina Finzel, Simon P. Kuhn, David E. Tafler, Ute Schmid
    Pages 40-51

  6. Learning Automata-Based Complex Event Patterns in Answer Set Programming

    • Nikos Katzouris, Georgios Paliouras
    Pages 52-68

  7. Learning Hierarchical Problem Networks for Knowledge-Based Planning

    • Pat Langley
    Pages 69-83

  8. Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains

    • Thais Luca, Aline Paes, Gerson Zaverucha
    Pages 84-99

  9. Learning Assumption-Based Argumentation Frameworks

    • Maurizio Proietti, Francesca Toni
    Pages 100-116

  10. Diagnosis of Event Sequences with LFIT

    • Tony Ribeiro, Maxime Folschette, Morgan Magnin, Kotaro Okazaki, Lo Kuo-Yen, Katsumi Inoue
    Pages 117-126

  11. Efficient Abductive Learning of Microbial Interactions Using Meta Inverse Entailment

    • Dany Varghese, Didac Barroso-Bergada, David A. Bohan, Alireza Tamaddoni-Nezhad
    Pages 127-141

  12. Functional Lifted Bayesian Networks: Statistical Relational Learning and Reasoning with Relative Frequencies

    • Felix Weitkämper
    Pages 142-156

  13. Back Matter

    Pages 157-157
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Keywords

About this book

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.

 


Editors and Affiliations

  • Imperial College London, London, UK

    Stephen H. Muggleton

  • University of Surrey, Guildford, UK

    Alireza Tamaddoni-Nezhad

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