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Chapter and Conference Paper
Learning Assumption-Based Argumentation Frameworks
We propose a novel approach to logic-based learning which generates assumption-based argumentation (ABA) frameworks from positive and negative examples, using a given background knowledge. These ABA frameworks c...
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Chapter and Conference Paper
ABALearn: An Automated Logic-Based Learning System for ABA Frameworks
We introduce ABALearn, an automated algorithm that learns Assumption-Based Argumentation (ABA) frameworks from training data consisting of positive and negative examples, and a given background knowledge. ABAL...
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Chapter
A Federated Cox Model with Non-proportional Hazards
Recent research has shown the potential for neural networks to improve upon classical survival models such as the Cox model, which is widely used in clinical practice. Neural networks, however, typically rely ...
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Chapter and Conference Paper
Neural QBAFs: Explaining Neural Networks Under LRP-Based Argumentation Frameworks
In recent years, there have been many attempts to combine XAI with the field of symbolic AI in order to generate explanations for neural networks that are more interpretable and better align with human reasoni...
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Chapter and Conference Paper
Descriptive Accuracy in Explanations: The Case of Probabilistic Classifiers
A user receiving an explanation for outcomes produced by an artificially intelligent system expects that it satisfies the key property of descriptive accuracy (DA), i.e. that the explanation contents are in corre...
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Chapter and Conference Paper
Influence-Driven Explanations for Bayesian Network Classifiers
We propose a novel approach to building influence-driven explanations (IDXs) for (discrete) Bayesian network classifiers (BCs). IDXs feature two main advantages wrt other commonly adopted explanation methods Firs...
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Chapter
Deploying Machine Learning Classifiers for Argumentative Relations “in the Wild”
(AM) aims at automatically identifying arguments and components of arguments in text, as well as at determining the relations between these arguments, on various annotated corpora using techniques (Lippi ...
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Chapter
Explanation via Machine Arguing
As AI becomes ever more ubiquitous in our everyday lives, its ability to explain to and interact with humans is evolving into a critical research area. Explainable AI (XAI) has therefore emerged as a popular t...
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Article
Open AccessOn Argumentation Logic and Propositional Logic
This paper studies the relationship between Argumentation Logic (AL), a recently defined logic based on the study of argumentation in AI, and classical Propositional Logic (PL). In particular, it shows that AL...
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Chapter and Conference Paper
On Instantiating Generalised Properties of Gradual Argumentation Frameworks
Several gradual semantics for abstract and bipolar argumentation have been proposed in the literature, ascribing to each argument a value taken from a scale, i.e. an ordered set. These values somewhat match th...
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Chapter and Conference Paper
From Logic Programming and Non-monotonic Reasoning to Computational Argumentation and Beyond
Argumentation has gained popularity in AI in recent years to support several activities and forms of reasoning. This talk will trace back the logic programming and non-monotonic reasoning origins of two well-k...
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Chapter and Conference Paper
Capturing Bipolar Argumentation in Non-flat Assumption-Based Argumentation
Bipolar Argumentation Frameworks (BAFs) encompass both attacks and supports among arguments. We study different semantic interpretations of support in BAFs, particularly necessary and deductive support, as well a...
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Chapter and Conference Paper
ABAplus: Attack Reversal in Abstract and Structured Argumentation with Preferences
We present ABAplus, a system that implements reasoning with the argumentation formalism ABA \(^+\) . ABA ...
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Chapter and Conference Paper
Quantitative Argumentation Debates with Votes for Opinion Polling
Opinion polls are used in a variety of settings to assess the opinions of a population, but they mostly conceal the reasoning behind these opinions. Argumentation, as understood in AI, can be used to evaluate ...
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Chapter and Conference Paper
Abstract Games of Argumentation Strategy and Game-Theoretical Argument Strength
We define a generic notion of abstract games of argumentation strategy for (attack-only and bipolar) argumentation frameworks, which are zero-sum games whereby two players put forward sets of arguments and get a ...
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Chapter and Conference Paper
Online Argumentation-Based Platform for Recommending Medical Literature
In medical practice, choosing the correct treatment is a key problem [1]. In this work, we present an online medical recommendation system, RecoMedic, that selects most relevant medical literature for patients. R...
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Chapter and Conference Paper
Identifying Malicious Behavior in Multi-party Bipolar Argumentation Debates
Lately, several works have analyzed potential uses of argumentation in multi-party debates. Usually, the focus of such works is the computation of a collectively “correct” outcome, a challenging task even when...
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Chapter and Conference Paper
Smarter Electricity and Argumentation Theory
The current, widespread introduction of smart electricity meters is resulting in large datasets’ becoming available, but there is as yet little in the way of advanced data analytics and visualization tools, or...
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Chapter and Conference Paper
Mechanism Design for Argumentation-Based Information-Seeking and Inquiry
Formal argumentation-based dialogue systems have attracted considerable research interest in the past. Most research in this area introduce “dialectical wrappers” over argumentation formalisms to model verbal ...
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Chapter and Conference Paper
Characterising and Explaining Inconsistency in Logic Programs
A logic program under the answer set semantics can be inconsistent because its only answer set is the set of all literals, or because it does not have any answer sets. In both cases, the reason for the inconsi...
