Overview

The 10th International Conference on Computational Models of Argument will be held September 18th-20th 2024 (preceded by workshops and a summer school) at the FernUniversität in Hagen, Germany. We cordially invite submissions and participants to this conference! The aim of the COMMA conference is to bring together researchers interested in computational models of argument and the representation of argumentation structures in natural language texts, including the problem of automatically discovering argumentation in text or speech. In addition to the main conference track, there will be thematically-focused workshops, system demonstrations, and a summer school with courses on current topics of argumentation.

Trevor Bench-Capon Best Student Paper Award

The Trevor Bench-Capon Best Student Paper Award 2024 has been awarded to

Daphne Odekerken

for her work

Finding Relevant Updates in Incomplete Argumentation Frameworks

Proceedings

The conference proceedings are available here.

Call for Papers

See here for the call for papers and here for the submission site.

Invited Speakers
  • Leila Amgoud, CNRS, IRIT
  • Ulrike Hahn, Birkbeck, University of London
  • Serena Villata, CNRS, Université Côte d’Azur, Inria
Topics

COMMA topics include, but are not limited to:

  • Formal, semi-formal and informal models for argumentation
  • Argumentation and Non-monotonic Reasoning
  • Dialogue based on argumentation
  • Strategies in argumentation
  • Argumentation and game theory
  • Argumentation and probability
  • Argumentation and narrative
  • Argumentation-based explanation
  • Argumentation and computational linguistics
  • Argument mining
  • Computational properties of argumentation
  • Reasoning about action and time with argumentation
  • Decision making based on argumentation
  • Argumentation in agent and multi-agent systems
  • Argumentation for coordination and coalition formation
  • Argumentation-based negotiation
  • Argumentation, trust and reputation
  • Argumentation and human-computer interaction
  • Systems for learning through argument
  • Implementation of argumentation systems
  • Tools for supporting argumentation
  • Demonstrations of innovative working applications and tools