Invited Speakers

Paul Dunne Paul Dunne graduated from the University of Edinburgh in 1981, subsequently completing doctoral research at the University of Warwick under Mike Paterson's supervision (1981-1984). He has worked at the University of Liverpool since August 1985 becoming a full Professor in 2010 (and awarded the degree of DSc from the University of Edinburgh for a collected series of papers on complexity in argumentation that same year). His early interests were in the field of computational complexity theory with specific focus on Boolean function complexity. He has been working on algorithmic and computational complexity aspects of argumentation within Dung's model and its variants for over two decades. He was active in establishing COMMA as a regular event, being Program Chair for the inaugural COMMA at Liverpool in 2006 and its first Steering Committee President, serving in this role from 2006 until end 2012. Together with Trevor Bench-Capon he oversaw the production of the influential Special Issue of AI Journal dedicated to Computational Argument which appeared in 2007. He has published extensively in all the leading AI journals, acting as an Associate Editor of AIJ (2015-2021). He is the author of three textbooks, the most recent of which appeared in 2019.

Well, to be honest, I wouldn’t start from here at all
(A personal view of Complexity in Argumentation after 20 Years)

Computational complexity theory and the related area of efficient algorithms have formed significant subfields of Abstract Argumentation going back over 20 years. There have been major contributions and an increased understanding of the computational issues that influence and beset effective implementation of argument methods. My aim, in this article, is to attempt to take stock of the standing of work in complexity theory as it presently is within the field of Computational Argument, as well as offering some personal views on its future direction.

Irena Gurevich Iryna Gurevych (PhD 2003, U. Duisburg-Essen, Germany) is professor of Computer Science and director of the Ubiquitous Knowledge Processing (UKP) Lab at the Technical University (TU) of Darmstadt in Germany. Her main research interests are in machine learning for large-scale language understanding and text semantics. Iryna’s work has received numerous awards. Examples are the ACL fellow award 2020, the ever-first Hessian LOEWE Distinguished Chair award (2,5 mil. Euro) in 2021 and the ERC Advanced Grant 2022. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. She is currently the vice-president of the Association of Computational Linguistics.

Detect – Debunk – Communicate: Combating Misinformation with More Realistic NLP

Dealing with misinformation is a grand challenge of the information society directed at equipping the computer users with effective tools for identifying and debunking misinformation. Current Natural Language Processing (NLP) including its fact-checking research fails to meet the expectations of real-life scenarios. In this talk, we show why the past work on fact-checking has not yet led to truly useful tools for managing misinformation, and discuss our ongoing work on more realistic solutions. NLP systems are expensive in terms of financial cost, computation, and manpower needed to create data for the learning process. With that in mind, we are pursuing research on detection of emerging misinformation topics to focus human attention on the most harmful, novel examples. We further compare the capabilities of automatic, NLP-based approaches to what human fact checkers actually do, uncovering critical research directions for the future. To edify false beliefs, we are collaborating with cognitive scientists and psychologists to automatically detect and respond to attitudes of vaccine hesitancy, encouraging anti-vaxxers to change their minds with effective communication strategies.

Antonis Kakas Antonis C. Kakas is a Professor at the Department of Computer Science of the University of Cyprus. He obtained his Ph.D. in Theoretical Physics from Imperial College London in 1984. His interest in Computing and AI started in 1989 under the group of Professor Kowalski. Since then his research has concentrated on computational logic in AI with particular interest in argumentation, abduction and induction and their application to machine learning and cognitive systems. Currently, he is working on the development of a new framework of Cognitive Programming that aims to offer an environment for developing Human-centric AI systems that can be naturally used by developers and human users at large. He is the National Contact Point for Cyprus in the flagship EU project on AI, AI4EU. He has recently co-founded a start-up company in Paris, called Argument Theory, which offers solutions to real-life application decision taking problems based on argumentation technology.

Argumentation: from Theory to Practice and back

This talk will present ideas on how we can bring argumentation, as a cognitively explainable form of computation, into real-life AI applications. It will show case examples of argumentation-based systems from a variety of different application domains, such as medical decision support, personal assistants and data access risk management. These systems are built under a general and flexible software methodology that facilitates their development directly from the high-level application domain knowledge and operate under the Gorgias and Gorgias Cloud argumentation technology. The talk will also present work that aims to understand the nature of machine-human interaction when systems argue based on Cognitive Argumentation, a framework of argumentation that builds on the synthesis into computational argumentation of work from Cognitive Psychology on human reasoning. Using the COGNICA system we can set up large scale experiments to empirically study the behavior of human reasoners under the interaction with systems that provide cognitive explanations for their results. The talk will close with a discussion of the possible role of argumentation as a logical foundation of (human-centric) AI based on the experience from the aforementioned real-life application and study of argumentation.

We are thankful to EurAI for sponsoring the talk by Antonis Kakas.


To be announced!

Program Chair

Committee Members

  • Leila Amgoud, IRIT - CNRS
  • Ofer Arieli, The Academic College of Tel-Aviv
  • Katie Atkinson, University of Liverpool
  • Pietro Baroni, University of Brescia
  • Ringo Baumann, Leipzig University
  • Trevor Bench-Capon, University of Liverpool
  • Floris Bex, Utrecht University
  • Stefano Bistarelli, University of Perugia
  • Elizabeth Black, King's College London
  • Alexander Bochman, Holon Institute of Technology
  • Elise Bonzon, LIPADE Université Paris Cité
  • Richard Booth, Cardiff University
  • Annemarie Borg, Utrecht University
  • Gerhard Brewka, Leipzig University
  • Katarzyna Budzynska, Warsaw University of Technology
  • Elena Cabrio, Inria, Côte d'Azur University, CNRS, I3S
  • Martin Caminada, Cardiff University
  • Federico Cerutti, University of Brescia
  • Carlos Chesñevar, Universidad Nacional del Sur
  • Oana Cocarascu, King's College London
  • Andrea Cohen, ICIC CONICET Universidad Nacional del Sur
  • Sylvie Coste-Marquis, CRIL, University of Artois and CNRS
  • Madalina Croitoru, LIRMM INRIA CNRS University of Montpellier
  • Kristijonas Čyras, Ericsson Research
  • Yannis Dimopoulos, University of Cyprus
  • Sylvie Doutre, University of Toulouse Capitole IRIT
  • Paul Dunne, University of Liverpool
  • Wolfgang Dvořák, Vienna University of Technology
  • Xiuyi Fan, Imperial College London
  • Sarah Alice Gaggl, TU Dresden
  • Alejandro Garcia, Universidad Nacional del Sur
  • Massimiliano Giacomin, University of Brescia
  • Lluis Godo, Artificial Intelligence Research Institute, IIIA - CSIC
  • Tom Gordon, University of Postdam
  • Guido Governatori, CSIRO
  • Floriana Grasso, University of Liverpool
  • Jesse Heyninck, TU Dortmund
  • Anthony Hunter, University College London
  • Souhila Kaci, LIRMM CNRS University of Montpellier
  • Antonis Kakas, University of Cyprus
  • Gabriele Kern-Isberner, TU Dortmund
  • Hiroyuki Kido, Cardiff University
  • Sébastien Konieczny, CRIL, University of Artois and CNRS
  • Marie-Christine Lagasquie-Schiex, IRIT Université Toulouse III - Paul Sabatier
  • John Lawrence, University of Dundee
  • Piyawat Lertvittayakumjorn, Imperial College London
  • Beishui Liao, Zhejiang University
  • Quratul-Ain Mahesar, University of Huddersfield
  • Jean-Guy Mailly, LIPADE Université Paris Cité
  • Maria Vanina Martinez, CONICET Universidad de Buenos Aires
  • Sanjay Modgil, King's College London
  • Maxime Morge, Université de Lille
  • Juan Carlos Nieves, Umeå University
  • Nir Oren, University of Aberdeen
  • Fabio Paglieri, ISTC-CNR Rome
  • Simon Parsons, University of Lincoln
  • Guilherme Paulino-Passos, Imperial College London
  • Sylwia Polberg, Cardiff University
  • Nico Potyka, Imperial College London
  • Henry Prakken, Utrecht University and University of Groningen
  • Antonio Rago, Imperial College London
  • Tjitze Rienstra, Maastricht University
  • Odinaldo Rodrigues, King's College London
  • Chiaki Sakama, Wakayama University
  • Francesco Santini, University of Perugia
  • Giovanni Sartor, EUI/CIRSFID University of Bologna
  • Isabel Sassoon, Brunel University London
  • Jodi Schneider, University of Illinois at Urbana Champaign
  • Guillermo R. Simari, Universidad Nacional del Sur
  • Mark Snaith, Robert Gordon University Aberdeen
  • Manfred Stede, University of Postdam
  • Christian Strasser, Ruhr University Bochum
  • Carlo Taticchi, University of Perugia
  • Matthias Thimm, FernUniversität in Hagen
  • Francesca Toni, Imperial College London
  • Alice Toniolo, University of St Andrews
  • Paolo Torroni, University of Bologna
  • Markus Ulbricht, Leipzig University
  • Leon van der Torre, University of Luxembourg
  • Bart Verheij, University of Groningen
  • Srdjan Vesic, CRIL, University of Artois and CNRS
  • Serena Villata, Inria, Côte d'Azur University, CNRS, I3S
  • Johannes P. Wallner, Graz University of Technology
  • Simon Wells, Edinburgh Napier University
  • Emil Weydert, University of Luxembourg
  • Stefan Woltran, Vienna University of Technology
  • Adam Wyner, Swansea University