An Argumentation-Based Approach to Generate Domain-Specific Explanations

Nadin Kökciyan*, Simon Parsons, Isabel Sassoon, Elizabeth Sklar, Sanjay Modgil

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

7 Citations (Scopus)

Abstract

In argumentation theory, argument schemes are constructs to generalise common patterns of reasoning; whereas critical questions (CQs) capture the reasons why argument schemes might not generate arguments. Argument schemes together with CQs are widely used to instantiate arguments; however when it comes to making decisions, much less attention has been paid to the attacks among arguments. This paper provides a high-level description of the key elements necessary for the formalisation of argumentation frameworks such as argument schemes and CQs. Attack schemes are then introduced to represent attacks among arguments, which enable the definition of domain-specific attacks. One algorithm is articulated to operationalise the use of schemes to generate an argumentation framework, and another algorithm to support decision making by generating domain-specific explanations. Such algorithms can then be used by agents to make recommendations and to provide explanations for humans. The applicability of this approach is demonstrated within the context of a medical case study.

Original languageEnglish
Title of host publicationMulti-Agent Systems and Agreement Technologies - 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Revised Selected Papers
EditorsNick Bassiliades, Georgios Chalkiadakis, Dave de Jonge
PublisherSpringer Science and Business Media Deutschland GmbH
Pages319-337
Number of pages19
ISBN (Print)9783030664114
DOIs
Publication statusPublished - 2020
Event17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020 - Thessaloniki, Greece
Duration: 14 Sept 202015 Sept 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12520 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th European Conference on Multi-Agent Systems, EUMAS 2020, and 7th International Conference on Agreement Technologies, AT 2020
Country/TerritoryGreece
CityThessaloniki
Period14/09/202015/09/2020

Keywords

  • Computational argumentation
  • Explainability
  • Human-agent systems

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