OLN | Args.me - Logic and Argumentation
© Maximilian Heinrich / generated with Chat-GPT
Project information
submitted by
Konrad Maximilian Heinrich
Co-Authors
Buse Dagidir, Sudarshan Gopalakrishna, Muhammad Qasim Hussain, Udayakumar Manjunath, Sahil Sajwan, Vinay Sampath Kumar Vudumula
Mentors
Maximilian Heinrich, Midhun Kanadan, Benno Stein
Faculty:
Media
Degree programme:
Computer Science and Media (english) (Master of Science (M.Sc.)),
Digital Engineering (Master of Science (M.Sc.))
Type of project presentation
Research project
Semester
Sommersemester2025
- Bauhausstraße 11
(R012 - Webis Lab) - Bauhausstraße 11
(R012 - Webis Lab)
Available during summaery opening hours
Links
http://www.args.me
Project description
Why do we suddenly start talking about this? In the middle of a heated discussion, thoughts get all jumbled — then, out of nowhere, everything focuses on just one argument. But why that one? Who even brought it up? And more importantly: how should you respond to it? For moments like these, there’s Args.me — the interactive argument search engine. It helps you keep track of the flow of a discussion, understand the other person’s perspective better, and have the right argument ready when it counts. To do this, we combine principles of dialectical logic with the capabilities of modern language models. Visitors can test their argumentation skills live — by engaging in a conversation with an AI discussion partner that analyzes their arguments in real time and follows the discussion according to the rules of dialectical logic.
Email: maximilian.heinrich[at]uni-weimar.de