Preference Elicitation in Assumption-Based Argumentation

Quratul ain Mahesar; Nir Oren; Wamberto W. Vasconcelos

doi:10.1007/978-3-030-69322-0_13

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 proceeding › Published conference contribution

2 Citations (Scopus)

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 language	English
Title of host publication	PRIMA 2020
Subtitle of host publication	Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings
Editors	Takahiro Uchiya, Quan Bai, Iván Marsá Maestre
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	199-214
Number of pages	16
ISBN (Electronic)	ISBN 978-3-030-69322-0
ISBN (Print)	9783030693213
DOIs	https://doi.org/10.1007/978-3-030-69322-0_13
Publication status	Published - 2021
Event	23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020 - Virtual, Online Duration: 18 Nov 2020 → 20 Nov 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12568 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020
City	Virtual, Online
Period	18/11/20 → 20/11/20

Bibliographical note

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

Access to Document

10.1007/978-3-030-69322-0_13Licence: Unspecified

Cite this

Mahesar, Q. A., Oren, N., & Vasconcelos, W. W. (2021). Preference Elicitation in Assumption-Based Argumentation. In T. Uchiya, Q. Bai, & I. Marsá Maestre (Eds.), PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings (pp. 199-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12568 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-69322-0_13

Preference Elicitation in Assumption-Based Argumentation. / Mahesar, Quratul ain; Oren, Nir; Vasconcelos, Wamberto W.
PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. ed. / Takahiro Uchiya; Quan Bai; Iván Marsá Maestre. Springer Science and Business Media Deutschland GmbH, 2021. p. 199-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12568 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Mahesar, QA, Oren, N & Vasconcelos, WW 2021, Preference Elicitation in Assumption-Based Argumentation. in T Uchiya, Q Bai & I Marsá Maestre (eds), PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12568 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 199-214, 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, Virtual, Online, 18/11/20. https://doi.org/10.1007/978-3-030-69322-0_13

Mahesar QA, Oren N, Vasconcelos WW. Preference Elicitation in Assumption-Based Argumentation. In Uchiya T, Bai Q, Marsá Maestre I, editors, PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 199-214. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Feb 14. doi: 10.1007/978-3-030-69322-0_13

Mahesar, Quratul ain ; Oren, Nir ; Vasconcelos, Wamberto W. / Preference Elicitation in Assumption-Based Argumentation. PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. editor / Takahiro Uchiya ; Quan Bai ; Iván Marsá Maestre. Springer Science and Business Media Deutschland GmbH, 2021. pp. 199-214 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - 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.

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Preference Elicitation in Assumption-Based Argumentation

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