| Vol-3492 urn:nbn:de:0074-3492-2 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IARML 2023
Workshop on the Interactions between Analogical Reasoning and Machine Learning 2023

### Proceedings of the Workshop on the Interactions between Analogical Reasoning and Machine Learning
co-located with International Joint Conference on Artificial Intelligence (IJCAI 2023)

### Macau, China, August 21, 2023.

Edited by

### Miguel Couceiro *
Stergos Afantenos **
Pierre-Alexandre Murena ***

* University of Lorraine, CNRS, LORIA, Nancy, France
** Université Paul Sabatier, IRIT Institute, Toulouse, France
*** Hamburg University of Technology, Hamburg, Germany

## Table of Contents

- Preface
  Summary: There were 6 papers submitted for peer-review to this workshop. Out of these, 5 papers were accepted for this volume, 3 as regular papers and 2 as short papers.
- Plenary talks
  Summary: There were 2 keynotes given at the workshop.

### Papers

- Formulae for the solution of an analogical equation between Booleans using the Sheffer stroke (NAND) or the Pierce arrow (NOR) 3-14
  Yves Lepage
- Some Perspectives on Similarity Learning for Case-Based Reasoning and Analogical Transfer 16-28
  Fadi Badra, Marie-Jeanne Lesot, Esteban Marquer, Miguel Couceiro
- Can LLMs solve generative visual analogies? 30-32
  Shrey Pandit, Gautam Shroff, Ashwin Srinivasan, Lovekesh Vig
- Some Preliminary Results on Analogies Between Sentences Using Contextual and Non-Contextual Embeddings 34-45
  Thomas Barbero, Stergos Afantenos
- A Framework for Neural Machine Translation by Fuzzy Analogies 47-55
  Liyan Wang, Bartholomäus Wloka, Yves Lepage

2023-09-11: submitted by Pierre-Alexandre Murena, metadata incl. bibliographic data published under Creative Commons CC0
2023-09-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|