Theory & Systems
Computational argumentation emerged in the early 90s as a knowledge representation and reasoning paradigm that subsumed many of then existing formalisms. During the years it has evolved into a thriving research field with applications in various domains within artificial intelligence, such as decision making, multi-agent systems, natural language processing, as well as in various disciplines, such as healthcare, legal reasoning, philosophy.
We have extensive expertise in both theoretical and applied research on argumentation, witnessed by numerous top-tier publications, system implementations and wide network of collaborators.
Papers
- Kristijonas Čyras, Xiuyi Fan, Claudia Schulz, Francesca Toni: Assumption-Based Argumentation: Disputes, Explanations, Preferences. Handbook of Formal Argumentation 2018
- Kristijonas Čyras, Francesca Toni: ABA+: Assumption-Based Argumentation with Preferences. KR 2016
- Francesca Toni: A Tutorial on Assumption-Based Argumentation. Argument & Computation 2014
- Francesca Toni: A Generalised Framework for Dispute Derivations in Assumption-Based Argumentation. Artificial Intelligence 2013
- Phan Minh Dung, Robert A. Kowalski, Francesca Toni: Assumption-Based Argumentation. Argumentation in Artificial Intelligence 2009
- Andrei Bondarenko, Phan Minh Dung, Robert A. Kowalski, Francesca Toni: An Abstract, Argumentation-Theoretic Approach to Default Reasoning. Artificial Intelligence 1997
- Phan Minh Dung, Paolo Mancarella, Francesca Toni: Computing Ideal Sceptical Argumentation. Artificial Intelligence 2007
- Phan Minh Dung, Robert A. Kowalski, Francesca Toni: Dialectic Proof Procedures for Assumption-Based, Admissible Argumentation. Artificial Intelligence 2006