Preference Elicitation in Assumption-Based Argumentation

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

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

Abstract / Description of output

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: Principles and Practice of Multi-Agent Systems
EditorsTakahiro Uchiya, Quan Bai, Iván Marsá Maestre
Place of PublicationCham
PublisherSpringer
Pages199-214
Number of pages16
ISBN (Electronic)978-3-030-69322-0
ISBN (Print)978-3-030-69321-3
DOIs
Publication statusPublished - 14 Feb 2021
Event23rd International Conference on Principles and Practice of Multi-Agent Systems - Online, Nagoya, Japan
Duration: 18 Nov 202020 Aug 2021
http://uchiya.web.nitech.ac.jp/prima2020/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12568
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Principles and Practice of Multi-Agent Systems
Abbreviated titlePRIMA 2020
Country/TerritoryJapan
CityNagoya
Period18/11/2020/08/21
Internet address

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