Preference Elicitation in Assumption-Based Argumentation

Quratul ain Mahesar, Nir Oren, Wamberto W. Vasconcelos

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

Abstract

Various structured argumentation frameworks utilize preferences as part of their inference procedure. In this paper, we consider an inverse of the standard reasoning problem, seeking to identify what preferences could lead to a given set of conclusions being drawn. We ground our work in the Assumption-Based Argumentation (ABA) framework, and present an algorithm which computes and enumerates all possible sets of preferences (restricted to three identified cases) over the assumptions in the system from which a desired conflict-free set of conclusions can be obtained under a given semantics. After describing our algorithm, we establish its soundness, completeness and complexity.

Original languageEnglish
Title of host publicationPRIMA 2020
Subtitle of host publicationPrinciples and Practice of Multi-Agent Systems: 23rd International Conference, Nagoya, Japan, November 18–20, 2020, Proceedings
EditorsTakahiro Uchiya, Quan Bai, Iván Marsá Maestre
Place of PublicationCham
PublisherSpringer, Cham
Pages199-214
Number of pages16
VolumeLNCS/LNAI 12568
Edition1st
ISBN (Electronic)9783030693220
ISBN (Print)9783030693213
DOIs
Publication statusPublished - 14 Feb 2021
Externally publishedYes
Event23rd International Conference on Principles and Practice of Multi-Agent Systems - Virtual, Online
Duration: 18 Nov 202020 Nov 2020
Conference number: 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Nature Switzerland AG
Volume12568 LNCS/LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Principles and Practice of Multi-Agent Systems
Abbreviated titlePRIMA 2020
CityVirtual, Online
Period18/11/2020/11/20

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