| Vol-3332 urn:nbn:de:0074-3332-3 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).

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

### Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI a AAAI 2022 Fall Symposium
Westin Arlington Gateway in Arlington, Virginia, November 17-19, 2022.

Edited by

### Marianna Bergamaschi Ganapini *
Lior Horesh **
Luis Lamb ***
Andrea Loreggia ****
Nicholas Mattei *****
Francesca Rossi **
Biplav Srivastava ******
Brent Venable *******

* Union College, New York, USA
** IBM Research, Yorktown Heights, USA
*** Federal University of Rio Grande do Sul, Porto Alegre, Brasil
**** University of Brescia, Brescia, Italy
***** Tulane University, New Orleans, USA
****** University of South Carolina, Columbia, USA
******* University of South Florida and IHMC, Pensacola, USA

## 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

2023-01-17: submitted by Andrea Loreggia, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|