| Vol-3227 urn:nbn:de:0074-3227-4 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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).

# HLC 2022
Human-Like Computing Workshop 2022

### Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022)
co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022)

### Windsor, United Kingdom, September 28-30th, 2022.

Edited by

### Alan Bundy *
Denis Mareschal **

* University of Edinburgh, UK, School of Informatics
** Birkbeck University of London, UK, Centre for Brain and Cognitive Development

## Table of Contents

- Preface
  Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume.

### Session 1: Representational Change

- Oruga: an avatar of Representational Systems Theory 1-5
  Daniel Raggi, Gem Stapleton, Mateja Jamnik, Aaron Stockdill, Grecia Garcia Garcia, Peter C.-H. Cheng
- Cognitive Analysis for Representation Change 6-10
  Aaron Stockdill, Grecia Garcia Garcia, Peter Cheng, Daniel Raggi, Mateja Jamnik

### Session 2: Representation Repair

- An overview of the ABC Repair System for Datalog-like Theories 11-17
  Xue Li, Alan Bundy
- Repairing Numerical Equations in Analogically Blended Theories Using Reformation 18-23
  Cheng-Hao Cai, Alan Bundy

### Session 3: Language Processing

- Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks 24-28
  Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
- Integrating Paraphrasing into the FRANK QA System 29-34
  Nick Ferguson, Liane Guillou, Kwabena Nuamah, Alan Bundy

### Session 5: Modelling Cognition

- The handshake problem for human-like coordination systems 35-40
  Eugene Philalithis
- Extending an Embodied Cognitive Architecture with Spatial Representation and Reasoning 41-45
  Pat Langley, Edward Katz

### Session 6: Cognition and Machine Learning

- Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway 46-52
  Younes Bouhadjar, Caterina Moruzzi, Melika Payvand
- Explanations from Deep Reinforcement Learning Using Episodic Memories 53-58
  Sam Blakeman, Denis Mareschal

### Session 7: Cognitive Validity

- Abstract: The Computational Gauntlet of Human-Like Learning 59Pat Langley 59
  Pat Langley
- Representing and Processing Emotions in a Cognitive Architecture 60-64
  Pat Langley

2022-09-16: submitted by Denis Mareschal, Creative Commons CC0
2022-10-02: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|