HLC 2022
Human-Like Computing Workshop 2022

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