| Vol-3461 urn:nbn:de:0074-3461-3 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2023 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).

# LIFELIKE 2022
Lifelike Computing Systems Workshop 2022

### Proceedings of the LIFELIKE 2022 - 10th Edition in the Evolution of the Workshop Series of Autonomously Learning and Optimizing Systems (SAOS)
co-located with 2022 Conference on Artificial Life (ALIFE 2022)

### Online, July 20th, 2022

Edited by

### Anthony Stein a
Sven Tomforde b
Jean Botev c
Peter Lewis d

a University of Hohenheim, Artificial Intelligence in Agricultural Engineering, Stuttgart, Germany
b Kiel University, Intelligent Systems, Kiel, Germany
c University of Luxembourg, Department of Computer Science, Esch-sur-Alzette, Luxembourg
d Ontario Tech University, Trustworthy Artificial Intelligence, Oshawa, Canada

## Table of Contents

- Lifelike Computing Systems 2022, Proceedings Preface
  Anthony Stein, Sven Tomforde, Jean Botev, Peter R. Lewis
  Summary: In the 2022 edition, 6 papers were submitted for peer-review to the LIFELIKE workshop. Out of these, 5 papers were accepted for this volume, 4 as regular papers and 1 as extended abstract paper.

#### Invited Contributions

- Keynote: Collaborative Systems: Learning and Working Together (extended abstract)
  Lukas Esterle
- Invited talk: Lifelikeness is in the eye of the beholder: demographics of deepfake detection and their impacts on online social networks (extended abstract)
  Juniper Lovato, Laurent Hébert-Dufresne, Jonathan St-Onge, Gabriela Salazar Lopez, Sean P. Rogers, Randall Harp, Ijaz Ul Haq, Jeremiah Onaolapo

#### Contributed Papers (peer-reviewed)

- Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems (extended abstract)
  Chloe M. Barnes, Anikó Ekárt, Kai Olav Ellefsen, Kyrre Glette, Peter R. Lewis, Jim Tørresen
- Development of Brando: a robotic dog capable of expressing emotions
  Carolina Padilla Velasco, Marco Antonio Martínez Cano, Rupendra Raavi, Patrick C.K Hung
- Learning Classifier Systems as Recommender Systems
  Sooraj K Babu, Sebastian von Mammen
- Towards XCSF-based Identification of Physical Disturbances
  Markus Görlich-Bucher, Jörg Hähner
- The Next Step in the Evolution of Artificial DNA: the Abstract ADNA
  Aleksey Koschowoj, Mathias Pacher, Uwe Brinkschulte

2023-08-03: submitted by Peter Lewis, metadata incl. bibliographic data published under Creative Commons CC0
2023-08-21: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|