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