Computational Argumentation

Computational argumentation emerged in the early 90s as a knowledge representation and reasoning paradigm that subsumed many of the then-existing formalisms for non-monotonic reasoning. During the years it has evolved into a thriving research field with applications in various domains within AI, such as decision making, multi-agent systems, natural language processing, as well as in various other disciplines, such as healthcare and legal reasoning.

We have extensive expertise in both theoretical and applied research on computational argumentation, witnessed by numerous top-tier publications, system implementations and deployment in applications (notably in healthcare).

Main Reference Papers

Assumption-based Argumentation (ABA) - main contributions

Assumption-based Argumentation (ABA) - overview articles:

Bipolar and Abstract Argumentation - main contributions:

Gradual semantics for argumentation - main contributions: