Search Results for author: Guilherme Paulino-Passos

Found 8 papers, 1 papers with code

Preference-Based Abstract Argumentation for Case-Based Reasoning (with Appendix)

no code implementations31 Jul 2024 Adam Gould, Guilherme Paulino-Passos, Seema Dadhania, Matthew Williams, Francesca Toni

We prove that the model inherently follows these preferences when making predictions and show that previous abstract argumentation for case-based reasoning approaches are insufficient at expressing preferences over constituents of an argument.

Abstract Argumentation Interpretable Machine Learning

Technical Report on the Learning of Case Relevance in Case-Based Reasoning with Abstract Argumentation

no code implementations30 Oct 2023 Guilherme Paulino-Passos, Francesca Toni

Specifically, we show that, for two legal datasets, AA-CBR and decision-tree-based learning of case relevance perform competitively in comparison with decision trees.

Abstract Argumentation Specificity

On Interactive Explanations as Non-Monotonic Reasoning

no code implementations30 Jul 2022 Guilherme Paulino-Passos, Francesca Toni

To better analyse this issue, in this work we treat explanations as objects that can be subject to reasoning and present a formal model of the interactive scenario between user and system, via sequences of inputs, outputs, and explanations.

Specificity

Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit

1 code implementation26 Jan 2022 Ion Stagkos Efstathiadis, Guilherme Paulino-Passos, Francesca Toni

The forum r/AmITheAsshole in Reddit hosts discussion on moral issues based on concrete narratives presented by users.

Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation

no code implementations10 Jul 2020 Guilherme Paulino-Passos, Francesca Toni

Recently, abstract argumentation-based models of case-based reasoning ($AA{\text -}CBR$ in short) have been proposed, originally inspired by the legal domain, but also applicable as classifiers in different scenarios, including image classification, sentiment analysis of text, and in predicting the passage of bills in the UK Parliament.

Abstract Argumentation Image Classification +1

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