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    Chapter and Conference Paper

    Argument Strength in Probabilistic Argumentation Using Confirmation Theory

    It is common for people to remark that a particular argument is a strong (or weak) argument. Having a handle on the relative strengths of arguments can help in deciding on which arguments to consider, and on w...

    Anthony Hunter in Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2021)

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    Chapter and Conference Paper

    Addressing Popular Concerns Regarding COVID-19 Vaccination with Natural Language Argumentation Dialogues

    Chatbots have the potential of being used as dialogical argumentation systems for behaviour change applications. They thereby offer a cost-effective and scalable alternative to in-person consultations with hea...

    Lisa Chalaguine, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2021)

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    Chapter and Conference Paper

    Towards Computational Persuasion via Natural Language Argumentation Dialogues

    Computational persuasion aims to capture the human ability to persuade through argumentation for applications such as behaviour change in healthcare (e.g. persuading people to take more exercise or eat more he...

    Anthony Hunter, Lisa Chalaguine in KI 2019: Advances in Artificial Intelligen… (2019)

  4. Chapter and Conference Paper

    Invited Talk: Computational Persuasion with Applications in Behaviour Change

    Persuasion is an activity that involves one party trying to induce another party to believe something or to do something. It is an important and multifaceted human facility. Obviously, sales and marketing is h...

    Anthony Hunter in New Frontiers in Artificial Intelligence (2018)

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    Chapter and Conference Paper

    Strategic Dialogical Argumentation Using Multi-criteria Decision Making with Application to Epistemic and Emotional Aspects of Arguments

    Participants in dialogical argumentation often make strategic choices of move, for example to maximize the probability that they will persuade the other opponents. Multiple dimensions of information about the ...

    Emmanuel Hadoux, Anthony Hunter in Foundations of Information and Knowledge S… (2018)

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    Chapter and Conference Paper

    Updating Probabilistic Epistemic States in Persuasion Dialogues

    In persuasion dialogues, the ability of the persuader to model the persuadee allows the persuader to make better choices of move. The epistemic approach to probabilistic argumentation is a promising way of mod...

    Anthony Hunter, Nico Potyka in Symbolic and Quantitative Approaches to Re… (2017)

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    Chapter and Conference Paper

    Belief in Attacks in Epistemic Probabilistic Argumentation

    The epistemic approach to probabilistic argumentation assigns belief to arguments. This is valuable in dialogical argumentation where one agent can model the beliefs another agent has in the arguments and this...

    Sylwia Polberg, Anthony Hunter, Matthias Thimm in Scalable Uncertainty Management (2017)

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    Chapter and Conference Paper

    Persuasion Dialogues via Restricted Interfaces Using Probabilistic Argumentation

    For persuasion dialogues between a software system and user, a user should be able to present arguments. Unfortunately, this would involve natural language processing which is not viable for this task in the s...

    Anthony Hunter in Scalable Uncertainty Management (2016)

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    Chapter

    Supporting Physicians and Patients Through Recommendation: Guidelines and Beyond

    The recommendation task, intended as the task of supporting physicians in their activity (and, in particular, in decision making) by providing them indications of the most appropriate way of treating patients,...

    Luca Anselma, Alessio Bottrighi in Foundations of Biomedical Knowledge Repres… (2015)

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    Chapter and Conference Paper

    Representing and Reasoning About Arguments Mined from Texts and Dialogues

    This paper presents a target language for representing arguments mined from natural language. The key features are the connection between possible reasons and possible claims and recursive embedding of such co...

    Leila Amgoud, Philippe Besnard in Symbolic and Quantitative Approaches to Re… (2015)

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    Chapter and Conference Paper

    Using Shapley Inconsistency Values for Distributed Information Systems with Uncertainty

    We study the problem of analyzing inconsistency in a distributed information system where the reliability of the sources is taken into account. We model uncertainty by assigning a probability to each source. T...

    John Grant, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2015)

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    Chapter

    Aggregation of Clinical Evidence Using Argumentation: A Tutorial Introduction

    In this tutorial, we describe a new framework for representing and synthesizing knowledge from clinical trials involving multiple outcome indicators. The framework offers a formal approach to aggregating clini...

    Anthony Hunter, Matthew Williams in Foundations of Biomedical Knowledge Representation (2015)

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    Chapter and Conference Paper

    Opportunities for Argument-Centric Persuasion in Behaviour Change

    The aim of behaviour change is to help people overcome specific behavioural problems in their everyday life (e.g. hel** people to decrease their calorie intake). In current persuasion technology for behaviou...

    Anthony Hunter in Logics in Artificial Intelligence (2014)

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    Chapter and Conference Paper

    Distance-Based Measures of Inconsistency

    There have been a number of proposals for measuring inconsistency in a knowledgebase (i.e. a set of logical formulae). These include measures that consider the minimally inconsistent subsets of the knowledgeba...

    John Grant, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2013)

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    Chapter and Conference Paper

    Structural Properties for Deductive Argument Systems

    There have been a number of proposals for using deductive arguments for instantiating abstract argumentation. These take a set of formulae as a knowledgebase, and generate a graph where each node is a logical ...

    Anthony Hunter, Stefan Woltran in Symbolic and Quantitative Approaches to Re… (2013)

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    Chapter and Conference Paper

    Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution

    Inconsistency is a usually undesirable feature of many kinds of data and knowledge. But altering the information in order to make it less inconsistent may result in the loss of information. In this paper we an...

    John Grant, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2011)

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    Chapter and Conference Paper

    An Algorithm for Generating Arguments in Classical Predicate Logic

    There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting arguments. A common assumption f...

    Vasiliki Efstathiou, Anthony Hunter in Symbolic and Quantitative Approaches to Re… (2009)

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    Chapter

    Argumentation Based on Classical Logic

    Argumentation is an important cognitive process for dealing with conflicting information by generating and/or comparing arguments. Often it is based on constructing and comparing deductive arguments. These are...

    Philippe Besnard, Anthony Hunter in Argumentation in Artificial Intelligence (2009)

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    Chapter and Conference Paper

    Knowledge Base Stratification and Merging Based on Degree of Support

    Most operators for merging multiple knowledge bases (where each is a set of formulae) aim to produce a knowledge base as output that best reflects the information available in the input. Whilst these operators...

    Anthony Hunter, Weiru Liu in Symbolic and Quantitative Approaches to Re… (2009)

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    Chapter and Conference Paper

    An Argument-Based Approach to Using Multiple Ontologies

    Logic-based argumentation offers an approach to querying and revising multiple ontologies that are inconsistent or incoherent. A common assumption for logic-based argumentation is that an argument is a pair 〈Φ,α〉...

    Elizabeth Black, Anthony Hunter, Jeff Z. Pan in Scalable Uncertainty Management (2009)

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