The workshop focuses on the issue of modelling “natural” argumentation. Contributions are solicited addressing, but not limited to, the following areas of interest:

  • The characteristics of “natural” arguments (e.g. ontological aspects, cognitive issues, legal asepcts).
  • The linguistic characteristics of natural argumentation, including discourse markers, sentence format, referring expressions, and style.
  • The generation of natural argument
  • Corpus argumentation results and techniques
  • Argumentation mining
  • Models of natural legal argument
  • Rhetoric and affect: the role of emotions, personalities, etc. in argumentation.
  • The roles of licentiousness and deceit and the ethical implications of implemented systems demonstrating such features.
  • Natural argumentation in multi-agent systems.
  • Methods to better convey the structure of complex argument, including representation and summarisation.
  • Natural argumentation and media: visual arguments, multi-modal arguments, spoken arguments.
  • Evaluative arguments and their application in AI systems (such as decision-support and advice-giving).
  • Non-monotonic, defeasible and uncertain argumentation.
  • The computational use of models from informal logic and argumentation theory.
  • Computer supported collaborative argumentation, for pedagogy, e-democracy and public debate.
  • Tools for interacting with structures of argument.
  • Applications of argumentation based systems.

We’ve prided ourselves in operating CMNA as a “broad church” and aiming for inclusiveness so if you’re unsure of whether CMNA is a good fit for your work you can:

  1. contact a member of the organising committee, or
  2. explore our archives at the CMNA.info site or
  3. survey a selection of papers from the CEUR archive of previous CMNA workshops (Volume #2269 (CMNA'20), Volume #2346 (CMNA'19), Volume #2048 (CMNA'17), Volume #1876 (CMNA'16)).