Meta-argumentation frameworks for multi-party dialogues

Gideon Ogunniye; Alice Toniolo; Nir Oren

doi:10.1007/978-3-030-03098-8_45

Meta-argumentation frameworks for multi-party dialogues

Gideon Ogunniye, Alice Toniolo, Nir Oren^*

^*Corresponding author for this work

School of Computer Science

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

3 Citations (Scopus)

Abstract

The conclusions drawn from a dialogue depend both on the content of the arguments, and the level of trust placed in the arguments and the entity advancing them. In this paper, we describe a framework for dialogue where such trust forms the basis for expressing preferences between arguments, and in turn, for computing conclusions of the dialogue. Our framework contains object and meta-level arguments, and uses ASPIC+ to represent arguments, while argument schemes capture meta-level arguments about trust and preferences.

Original language	English
Title of host publication	PRIMA 2018: Principles and Practice of Multi-Agent Systems
Subtitle of host publication	21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings
Editors	Tim Miller, Nir Oren, Yuko Sakurai, Itsuki Noda, Bastin Tony Savarimuthu, Tran Cao Son
Place of Publication	Cham
Publisher	Springer
Pages	585-593
Number of pages	9
ISBN (Electronic)	9783030030988
ISBN (Print)	9783030030971
DOIs	https://doi.org/10.1007/978-3-030-03098-8_45
Publication status	Published - 2018
Event	21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018 - Tokyo, Japan Duration: 29 Oct 2018 → 2 Nov 2018 Conference number: 21

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11224 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018
Abbreviated title	PRIMA 2018
Country/Territory	Japan
City	Tokyo
Period	29/10/18 → 2/11/18

Access to Document

10.1007/978-3-030-03098-8_45

https://hdl.handle.net/2164/13155

Cite this

Ogunniye, G., Toniolo, A., & Oren, N. (2018). Meta-argumentation frameworks for multi-party dialogues. In T. Miller, N. Oren, Y. Sakurai, I. Noda, B. T. Savarimuthu, & T. Cao Son (Eds.), PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings (pp. 585-593). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11224 LNAI). Springer. https://doi.org/10.1007/978-3-030-03098-8_45

Ogunniye, Gideon ; Toniolo, Alice ; Oren, Nir. / Meta-argumentation frameworks for multi-party dialogues. PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. editor / Tim Miller ; Nir Oren ; Yuko Sakurai ; Itsuki Noda ; Bastin Tony Savarimuthu ; Tran Cao Son. Cham : Springer, 2018. pp. 585-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Meta-argumentation frameworks for multi-party dialogues",

abstract = "The conclusions drawn from a dialogue depend both on the content of the arguments, and the level of trust placed in the arguments and the entity advancing them. In this paper, we describe a framework for dialogue where such trust forms the basis for expressing preferences between arguments, and in turn, for computing conclusions of the dialogue. Our framework contains object and meta-level arguments, and uses ASPIC+ to represent arguments, while argument schemes capture meta-level arguments about trust and preferences.",

author = "Gideon Ogunniye and Alice Toniolo and Nir Oren",

year = "2018",

doi = "10.1007/978-3-030-03098-8_45",

language = "English",

isbn = "9783030030971",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "585--593",

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booktitle = "PRIMA 2018: Principles and Practice of Multi-Agent Systems",

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note = "21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018, PRIMA 2018 ; Conference date: 29-10-2018 Through 02-11-2018",

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Ogunniye, G, Toniolo, A & Oren, N 2018, Meta-argumentation frameworks for multi-party dialogues. in T Miller, N Oren, Y Sakurai, I Noda, BT Savarimuthu & T Cao Son (eds), PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11224 LNAI, Springer, Cham, pp. 585-593, 21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018, Tokyo, Japan, 29/10/18. https://doi.org/10.1007/978-3-030-03098-8_45

Meta-argumentation frameworks for multi-party dialogues. / Ogunniye, Gideon; Toniolo, Alice; Oren, Nir.
PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. ed. / Tim Miller; Nir Oren; Yuko Sakurai; Itsuki Noda; Bastin Tony Savarimuthu; Tran Cao Son. Cham: Springer, 2018. p. 585-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11224 LNAI).

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

TY - GEN

T1 - Meta-argumentation frameworks for multi-party dialogues

AU - Ogunniye, Gideon

AU - Toniolo, Alice

AU - Oren, Nir

N1 - Conference code: 21

PY - 2018

Y1 - 2018

N2 - The conclusions drawn from a dialogue depend both on the content of the arguments, and the level of trust placed in the arguments and the entity advancing them. In this paper, we describe a framework for dialogue where such trust forms the basis for expressing preferences between arguments, and in turn, for computing conclusions of the dialogue. Our framework contains object and meta-level arguments, and uses ASPIC+ to represent arguments, while argument schemes capture meta-level arguments about trust and preferences.

AB - The conclusions drawn from a dialogue depend both on the content of the arguments, and the level of trust placed in the arguments and the entity advancing them. In this paper, we describe a framework for dialogue where such trust forms the basis for expressing preferences between arguments, and in turn, for computing conclusions of the dialogue. Our framework contains object and meta-level arguments, and uses ASPIC+ to represent arguments, while argument schemes capture meta-level arguments about trust and preferences.

U2 - 10.1007/978-3-030-03098-8_45

DO - 10.1007/978-3-030-03098-8_45

M3 - Conference contribution

AN - SCOPUS:85056474532

SN - 9783030030971

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 585

EP - 593

BT - PRIMA 2018: Principles and Practice of Multi-Agent Systems

A2 - Miller, Tim

A2 - Oren, Nir

A2 - Sakurai, Yuko

A2 - Noda, Itsuki

A2 - Savarimuthu, Bastin Tony

A2 - Cao Son, Tran

PB - Springer

CY - Cham

T2 - 21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018

Y2 - 29 October 2018 through 2 November 2018

ER -

Ogunniye G, Toniolo A, Oren N. Meta-argumentation frameworks for multi-party dialogues. In Miller T, Oren N, Sakurai Y, Noda I, Savarimuthu BT, Cao Son T, editors, PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings. Cham: Springer. 2018. p. 585-593. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Oct 24. doi: 10.1007/978-3-030-03098-8_45

Meta-argumentation frameworks for multi-party dialogues

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