Antonio Rago

Research

My current research focuses on methods for explainable AI, particularly those which utilise argumentation, as well as traditional argumentation semantics, their mathematical properties and applications.

Other topics of AI which are of interest to me include:

• Bayesian Networks
• Recommender Systems
• Neural Networks
• Decision Support
• Voting Methods
• Reasoning & Preferences

Application areas of my research include: engineering design, opinion polling, e-learning, conversational recommender systems, argumentation mining and judgemental forecasting.

Publications

2023

• Interactive Explanations by Conflict Resolution via Argumentative Exchanges
  A. Rago, H. Li and F. Toni
  Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023)
• Formalising the Robustness of Counterfactual Explanations for Neural Networks
  J. Jiang, F. Leofante, A. Rago and F. Toni
  Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023)
• Achieving descriptive accuracy in explanations via argumentation: The case of probabilistic classifiers
  E. Albini, A. Rago, P. Baroni & F. Toni
  Frontiers
• Explaining Classifiers' Outputs with Causal Models and Argumentation
  A. Rago, F. Russo, E. Albini, P. Baroni & F. Toni
  IfCoLog Journal of Logics and their Applications

2022

• Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement
  A. Rago, P. Baroni and F. Toni
  Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR 2022)
• Forecasting Argumentation Frameworks
  B. Irwin, A. Rago and F. Toni
  Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR 2022)
• Argumentative Forecasting
  B. Irwin, A. Rago and F. Toni
  Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2022)
• Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers
  E. Albini, A. Rago, P. Baroni and F. Toni
  Scalable Uncertainty Management, 15th International Conference (SUM 2022)
• Mining Property-driven Graphical Explanations for Data-centric AI from Argumentation Frameworks
  O. Cocarascu, K. Cyras, A. Rago and F. Toni
  Human-Like Machine Intelligence
• Should counterfactual explanations always be data instances?
  J. Jiang, A. Rago and F. Toni
  The Third Workshop on Explainable Logic-Based Knowledge Representation (XLoKR 2022 @ KR 2022)
• Formalising the Robustness of Counterfactual Explanations for Neural Networks
  J. Jiang, F. Leofante, A. Rago and F. Toni
  2nd International Workshop on Explainable AI in Finance (XAI-FIN-22 @ ICAIF 2022)

2021

• Argumentative Explanations for Interactive Recommendations
  A. Rago, O. Cocarascu, C. Bechlivanidis, D. Lagnado & F. Toni
  Artificial Intelligence (AIJ)
• Argumentative XAI: A Survey
  K. Cyras, A. Rago, E. Albini, P Baroni & F. Toni
  Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021)
• Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks
  A. Dejl, P. He, P. Mangal, H. Mohsin, B. Surdu, E. Voinea, E. Albini, P. Lertvittayakumjorn, A. Rago and F. Toni
  Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021)
• Influence-Driven Explanations for Bayesian Network Classifiers
  E. Albini, A. Rago, P. Baroni and F. Toni
  Proceedings of the 18th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021)
• Interpreting and explaining PageRank through argumentation semantics
  E. Albini, P. Baroni, A. Rago and F. Toni
  Intelligenza Artificiale (AIxIA)
• Forging Argumentative Explanations from Causal Models
  A. Rago, F. Russo, E. Albini, P. Baroni and F. Toni
  5th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2021 @ AIxIA 2021)
• Neural QBAFs: Explaining Neural Networks Under LRP-Based Argumentation Frameworks
  P. Sukpanichnant, A. Rago, P. Lertvittayakumjorn and F. Toni
  2nd Italian Workshop on Explainable Artificiale Intelligence (AIxIA 2021)
• LRP-Based Argumentative Explanations for Neural Networks
  P. Sukpanichnant, A. Rago, P. Lertvittayakumjorn and F. Toni
  2nd Italian Workshop on Explainable Artificiale Intelligence (XAI.it 2021 @ AIxIA 2021)

2020

• Argumentation as a Framework for Interactive Explanations for Recommendations
  A. Rago, O. Cocarascu, C. Bechlivanidis & F. Toni
  Principles of Knowledge Representation and Reasoning: Proceedings of the Seventeenth International Conference (KR 2020)
• Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
  E. Albini, A. Rago, P Baroni & F. Toni
  Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020)
• Explanation via Machine Arguing
  O. Cocarascu, A. Rago & F. Toni
  Reasoning Web 2020 (RW 2020)
• PageRank as an Argumentation Semantics
  E. Albini, P. Baroni, A. Rago & F. Toni
  Computational Models of Argument - Proceedings of COMMA 2020
• Explaining PageRank through Argumentation
  E. Albini, P. Baroni, A. Rago & F. Toni
  Explainable Logic-Based Knowledge Representation (XLoKR 2020 @ KR 2020)

2019

• From Formal Argumentation to Conversational Systems
  O. Cocarascu, A. Rago & F. Toni
  Proceedings of the 1st Workshop on Conversational Interaction Systems (WCIS 2019 @ SIGIR 2019)
• Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents
  O. Cocarascu, A. Rago & F. Toni
  Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2019)
• From Fine-Grained Properties to Broad Principles for Gradual Argumentation: a Principled Spectrum
  P. Baroni, A. Rago & F. Toni
  International Journal of Approximate Reasoning (IJAR)
• Gradual Evaluation in Argumentation Frameworks: Methods, Properties and Applications
  A. Rago
  PhD Thesis

2018

• Explaining with Argumentation Frameworks Mined from Data
  O. Cocarascu, K. Cyras, A. Rago & F. Toni
  The International Workshop on Dialogue, Explanation and Argumentation in Human-Agent Interaction (DEXAHAI 2018 @ HAI 2018)
• On Instantiating Generalised Properties of Gradual Argumentation Frameworks
  A. Rago, P. Baroni & F. Toni
  Scalable Uncertainty Management - 12th International Conference (SUM 2018) Proceedings
• The “Games of Argumentation” Web Platform
  P. Baroni, S. Borsato, A. Rago & F. Toni
  Computational Models of Argument - Proceedings of COMMA 2018 (COMMA 2018)
• Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them
  A. Rago, O. Cocarascu & F. Toni
  Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI 2018)
• How Many Properties Do We Need for Gradual Argumentation?
  P. Baroni, A. Rago & F. Toni
  Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018)

2017

• Quantitative Argumentation Debates with Votes for Opinion Polling
  A. Rago & F. Toni
  Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017)
• Abstract Games of Argumentation Strategy and Game-Theoretical Argument Strength
  P. Baroni, G. Comini, A. Rago & F. Toni
  Proceedings of the 20th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2017)

2016

• Adapting the DF-QuAD Algorithm to Bipolar Argumentation
  A. Rago, K. Cyras & F. Toni
  Proceedings of the 1st International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2016 @ COMMA 2016)
• Discontinuity-Free Decision Support with Quantitative Argumentation Debates
  A. Rago, F. Toni, M. Aurisicchio & P. Baroni
  Proceedings of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR 2016)

Education

PhD in Computing

Imperial College London - Jan 2019
Computational Logic & Argumentation | Artificial Intelligence
Thesis: "Gradual Evaluation in Argumentation Frameworks: Methods, Properties and Applications"
Supervisors: Prof. Francesca Toni & Dr. Marco Aurisicchio
EPSRC Scholarship

MEng in Automotive Engineering (with Diploma in Industrial Studies)

Loughborough University - Sep 2012
Vehicle Dynamics & Handling | Control Engineering
1^st Class Honours
Thesis: "Application of a Reaction Wheel Actuator for Motorcycle Control"
Supervisor: Dr. George Mavros

Professional Experience

Other Activities

• Arg&App 2023: The 1st International Workshop on Argumentation and Applications (Organiser) @ KR 2023, Rhodes, Greece, September 2023
• ArgXAI-23: 2nd International Workshop on Argumentation for eXplainable AI (Organiser) @ ICLP 2023, London, UK, July 2023
• ArgXAI-22: 1st International Workshop on Argumentation for eXplainable AI (Organiser) @ COMMA 2022, Cardiff, UK, September 2022
• Explainable AI Seminars (Organiser) - Imperial College London, UK, January 2020 - September 2022
• AI@Imperial: explAIn Workshop 2021 (Organiser) - Imperial College London, UK, July 2021
• AI@Imperial: explAIn Workshop 2018 (Organiser) - Imperial College London, UK, April 2018
• AAAI-18 Student Scholarship - New Orleans, Louisiana, USA, February 2018
• Institut Français: Night of Ideas 2018 Demo - Imperial College London, UK, January 2018
• Imperial College London AI Fringe 2018 Demo - Imperial College London, UK, January 2018
• Toulouse e-Democracy Summer School - Université de Toulouse, France, June 2017
• Ingeniería 2030: Exchange Scholarship - Pontificia Universidad Católica de Chile, Chile, March-May 2017
• Cardiff Argumentation Forum 2016 - Cardiff University, UK, July 2016
• Imperial-MIT Global Fellows Programme 2016 - Easthampstead Park, UK, June 2016
• London Argumentation Forum 2016 - Kings College London, UK, May 2016
• AAAI Spring Symposium 2016 (AAAI Scholarship) - Stanford University, California, USA, March 2016