98207 - ARGUMENTATION IN ARTIFICIAL INTELLIGENCE

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.

Programma/Contenuti

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.

Testi/Bibliografia

• GR Simari & I Rahwan, eds, Argumentation in Artificial Intelligence, Springer, 2009
• P Dunne & T Bench-Capon, Argumentation in Artificial Intelligence, Artificial Intelligence 171 (10–15), 2007: 619-641
  
• PM Dung, On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games, Artificial Intelligence 77(2), 1995: 321-357
• P Baroni, D Gabbay, M Giacomin & L van der Torre, eds, Handbook of Formal Argumentatation, College Publications, 2018
• P Torroni & M Lippi, Argumentation Mining: State of the Art and Emerging Trends, ACM Transactions on Internet Technology 16(2), 2016, Article 10

Metodi didattici

Lectures

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