Preference Elicitation in Assumption-Based Argumentation

Quratul ain Mahesar*, Nir Oren, Wamberto W. Vasconcelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

1 Citation (Scopus)


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, 2020, Proceedings
EditorsTakahiro Uchiya, Quan Bai, Iván Marsá Maestre
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Electronic)ISBN 978-3-030-69322-0
ISBN (Print)9783030693213
Publication statusPublished - 2021
Event23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020 - Virtual, Online
Duration: 18 Nov 202020 Nov 2020

Publication series

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


Conference23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020
CityVirtual, Online

Bibliographical note

Funding Information:
This work was supported by EPSRC grant (EP/P011829/1), Supporting Security Policy with Effective Digital Intervention (SSPEDI).


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