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, FSarah 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|