Computing Argument Preferences and Explanations in Abstract Argumentation

Quratul-Ain Mahesar, Nir Oren, Wamberto W Vasconcelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
25 Downloads (Pure)

Abstract

We present an extension-based approach for computing preferences in an abstract argumentation system. Although numerous argumentation semantics have been developed previously for identifying acceptable sets of arguments from an argumentation framework, there is a lack of justification behind their acceptability based on implicit argument preferences. This paper presents a novel algorithm for exhaustively computing and enumerating all possible sets of preferences for a conflict-free set of arguments in an abstract argumentation framework. We prove the soundness and completeness of the algorithm. The research establishes that preferences are determined using an extension-based approach after the evaluation phase (acceptability of arguments) rather than stated beforehand. We also present some novel insights by comparing the computed preferences for the extensions.

Original languageEnglish
Title of host publicationPRIMA
Subtitle of host publicationInternational Conference on Principles and Practice of Multi-Agent Systems
EditorsTim Miller, Nir Oren, Yuko Sakurai, Itsuki Noda, Bastin Tony Roy Savarimuthu, Tran Cao Son
PublisherSpringer
Pages387-402
Number of pages15
ISBN (Electronic)9783030030988
ISBN (Print)9783030030971
DOIs
Publication statusPublished - Nov 2018
EventPRIMA 2018: The 21st International Conference on Principles and Practice of Multi-Agent Systems - AIST Tokyo Waterfront, Tokyo, Japan
Duration: 31 Oct 20182 Nov 2018

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11224
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferencePRIMA 2018: The 21st International Conference on Principles and Practice of Multi-Agent Systems
CountryJapan
CityTokyo
Period31/10/182/11/18

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