Anno Accademico 2021/2022

  • Docente Paolo Torroni

  • Crediti formativi 1

  • SSD ING-INF/05

  • Lingua di insegnamento Inglese

  • Modalità di erogazione In presenza (Convenzionale)

Conoscenze e abilità da conseguire

At the end of this seminar, the student has gained an overview of argumentation technologies in the context of artificial intelligence and is able to understand to some degree most technical works published in this domain.


Argumentation studies how assertions are proposed, discussed, and resolved in the context of issues upon which several diverging opinions may be held. This is relevant to many disciplines, such as logic, philosophy, language and rhetoric, psychology, sociology, law, communication studies, an many more. In recent decades, computational argumentation has become a focus of interest in artificial intelligence, as it was recognized as a powerful paradigm for representing knowledge, operationalizing formal reasoning, framing multi-agent dialogues, and help conflict-resolution and decision-making. More recently, such an interest has expanded with the introduction of new applications of computational argumentation, and the increasingly important contribution of language technologies for the automated analysis and generation of natural arguments.

This seminar aims to introduce the audience to this lively area, provide a broad overview of paradigms and methods, and illustrate applications in the context of explainable AI and argument mining.

The lectures will cover the following topics:

  • Introduction to computational argumentation
  • Representing and reasoning about arguments
  • Abstract argumentation
  • Automated processing of natural language arguments
Prerequisites: basic knowledge of logic and computer science. Good knowledge of English.


Metodi didattici


Modalità di verifica dell'apprendimento

Presentation of a technical article

Strumenti a supporto della didattica

Lecture slides will be made available in advance

Orario di ricevimento

Consulta il sito web di Paolo Torroni

Istruzione di qualità


L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.