| Vol-3945 urn:nbn:de:0074-3945-X Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 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).

# AAPEI 2024
Adjustable Autonomy and Physical Embodied Intelligence 2024

### Proceedings of the 1st Workshop on Adjustable Autonomy and Physical Embodied Intelligence (AAPEI 2024)
co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024)

### Santiago de Compostela, Spain, October 20, 2024.

Edited by

### Fabio Patrizi 1
Raffaello Camoriano 2
Carlo Masone 2
Marco Roveri 3
Luigi Palopoli 3
Giuseppe Averta 2
Francesca Pistilli 2

1 Sapienza Università di Roma, Department of Computer, Control, and Management Engineering "Antonio Ruberti", 00185 Rome, Italy
2 Politecnico di Torino, Department of Control and Computer Engineering (DAUIN), 10129 Torino, ITALY
3 Università di Trento, Department of Information Engineering and Computer Science, 38123 Trento, ITALY

## Table of Contents

- Preface
  Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 4 as regular papers and 3 as short papers.

### Regular Papers

- Examples of Assistive Robotic Solutions for Healthy Aging and Rehabilitation at University of Calabria 1-10
  Simone Leone, Francesco Lago, Elio Matteo Curcio, Giuseppe Carbone
- Fairness-Driven Explainable Learning in Multi-Agent Reinforcement Learning 11-20
  Tariq Mahmood, Reza Shahbazian, Irina Trubitsyna
- Transfer Learning between non-Markovian RL Tasks through Semantic Representations of Temporal States 21-33
  Andrea Fanti, Elena Umili, Roberto Capobianco
- Towards IoT Workflows for Kitchens Enabled with Ambient Intelligence: A Position Paper 34-46
  Filippos Ventirozos, Riza Batista-Navarro, Bijan Parsia, Sarah Clinch

### Short Papers

- On the General Epistemic Abstract Argumentation Framework 47-52
  Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
- Towards Strategy Repair for Adjustable Autonomy 53-61
  Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli
- Towards Multi-Agent Model-Based Reinforcement Learning in Discrete Non-Markovian Reward Decision Processes 62-78
  Alessandro Trapasso, Francesco Amigoni, Luca Iocchi, Fabio Patrizi

2024-12-30: submitted by Carlo Masone, metadata incl. bibliographic data published under Creative Commons CC0
2025-03-24: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|