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|