TFSOCTAI 2022
Thinking Fast and Slow and Other Cognitive Theories in AI, AAAI 2022 Fall Symposium

Table of Contents

• Preface
  Summary: There were 17 papers submitted for peer-review to this workshop. Out of these, 11 papers were accepted for this volume, 11 as regular papers.

• BIASeD: Bringing Irrationality into Automated System Design
  Aditya Gulati , Miguel Angel Lozano , Bruno Lepri , Nuria Oliver
• Shaping Cognitive Control for HRI through the Dual Process Theory
  Alessandro Umbrico , Amedeo Cesta , Francesca Fracasso , Andrea Orlandini , Gabriella Cortellessa
• System-1 and System-2 realized within the Common Model of Cognition
  Brendan Conway-Smith , Robert West
• Graph-Based Neural Modules to Inspect Attention-Based Architectures, A Position Paper
  Breno William , Luis Lamb , Carvalho Artur D'Avilla Garcez
• Construal Level Theory for Agent-based Planning
  Christopher McClurg , Alan Wagner , Sarah Rajtmajer
• Inductive Learning of Complex Knowledge from Raw Data
  Daniel Cunnington , Mark Law , Jorge Lobo , Alessandra Russo
• Epistemic Planning in a Fast and Slow Setting
  Francesco Fabiano , Marianna Bergamaschi Ganapini , Lior Horesh , Andrea Loreggia , Keerthiram Murugesan , Vishal Pallagani , Francesca Rossi , Biplav Srivastava
• The Empathy Gap: Why AI Can Forecast Behavior But Cannot Assess Trustworthiness
  Jason D'Cruz , William Kidder , Kush Varshney
• Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
  Marianna Bergamaschi Ganapini , Murray Campbell , Francesco Fabiano , Lior Horesh , Jonathan Lenchner , Andrea Loreggia , Nicholas Mattei , Francesca Rossi , Biplav Srivastava , Kristen Brent Venable
• Cutting Corners in Theory of Mind
  Marion Roth , Stacy Marsella , Lawrence Barsalou
• Playing for More than the Win
  Susan Epstein