|  | Vol-2777 urn:nbn:de:0074-2777-5 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

# AI^3 2020
Advances In Argumentation In Artificial Intelligence

### Proceedings of the Workshop on Advances In Argumentation In Artificial Intelligence 2020
co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020)

### Online, November 25-26, 2020.

Edited by

### Bettina Fazzinga *
Filippo Furfaro **
Francesco Parisi **

* Institute for High Performance Computing and Networking (ICAR) of the National Research Council, Via P. Bucci, cubo 8-9C, 87036, Rende(CS), Italy
** Department of Computer Engineering, Modeling, Electronics and Systems, University of Calabria, Via P. Bucci, cubo 42C, 87036, Rende (CS), Italy

## Table of Contents

- Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 7 as regular papers and 1 as short papers.

### Session 1: Wednesday, 25th of November, 2020

- Do I Argue Like Them? A Human Baseline for Comparing Attitudes in Argumentations. 1-15
  Markus Brenneis, Martin Mauve
- On the Semantics of Recursive Bipolar AFs and Partial Stable Models 16-30
  Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
- Computational Strategies for Trust-aware Abstract Argumentation Frameworks 31-44
  Bettina Fazzinga, Sergio Flesca, Filippo Furfaro

### Session 2: Thursday, 26th of November, 2020

- An Efficient Algorithm for Admissible Argumentation Stages 45-59
  Tobia Zanetti, Massimiliano Giacomin, Mauro Vallati, Federico Cerutti
- Towards a General Model for Abstract Argumentation Frameworks 60-74
  Stefano Ferilli
- A Concurrent Language for Argumentation 75-89
  Stefano Bistarelli, Carlo Taticchi
- A First Overview of ICCMA’19 90-102
  Stefano Bistarelli, Lars Kotthoff, Francesco Santini, Carlo Taticchi
- Towards Effective and Efficient Approximate Query Answering in Probabilistic DeLP (short paper) 103-109
  Mario Leiva, Gerardo Simari, Alejandro Garcia

2020-12-15: submitted by Bettina Fazzinga, Filippo Furfaro and Francesco Parisi metadata incl. bibliographic data published under Creative Commons CC0
2020-12-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|