Towards an artificial argumentation system

Ramon Ruiz-Dolz

doi:10.24963/ijcai.2020/743

Towards an artificial argumentation system

Ramon Ruiz-Dolz

Computing

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

5 Citations (Scopus)

19 Downloads (Pure)

Abstract

Computational Argumentation studies the definition of models able to either have a debate, persuade users in decision making or assist humans with argument analysis. In this work, some of our initial contributions and the foundations of this research field are presented.

Original language	English
Title of host publication	Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Editors	Christian Bessiere
Publisher	International Joint Conferences on Artificial Intelligence
Pages	5206-5207
Number of pages	2
ISBN (Electronic)	9780999241165
DOIs	https://doi.org/10.24963/ijcai.2020/743
Publication status	Published - 2021
Event	29th International Joint Conference on Artificial Intelligence, IJCAI 2020 - Online, Yokohama, Japan Duration: 7 Jan 2021 → 15 Jan 2021 https://ijcai20.org/

Conference

Conference	29th International Joint Conference on Artificial Intelligence, IJCAI 2020
Country/Territory	Japan
City	Yokohama
Period	7/01/21 → 15/01/21
Internet address	https://ijcai20.org/

Keywords

Knowledge Representation and Reasoning: Computational Models of Argument
Humans and AI: Computer-Aided Education
Natural Language Processing: Discourse

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.24963/ijcai.2020/743Licence: No Licence / Unknown

Author Accepted ManuscriptAccepted author manuscript, 124 KB

Cite this

@inproceedings{198d1b3f3f94422c9e4d31f7ce3893a7,

title = "Towards an artificial argumentation system",

abstract = "Computational Argumentation studies the definition of models able to either have a debate, persuade users in decision making or assist humans with argument analysis. In this work, some of our initial contributions and the foundations of this research field are presented.",

keywords = "Knowledge Representation and Reasoning: Computational Models of Argument, Humans and AI: Computer-Aided Education, Natural Language Processing: Discourse",

author = "Ramon Ruiz-Dolz",

note = "Copyright {\textcopyright} 2020 IJCAI-PRICAI 2020 All Rights Reserved.; 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 ; Conference date: 07-01-2021 Through 15-01-2021",

year = "2021",

doi = "10.24963/ijcai.2020/743",

language = "English",

pages = "5206--5207",

editor = "Christian Bessiere",

booktitle = "Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence",

publisher = "International Joint Conferences on Artificial Intelligence",

address = "United States",

url = "https://ijcai20.org/",

}

Ruiz-Dolz, R 2021, Towards an artificial argumentation system. in C Bessiere (ed.), Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, pp. 5206-5207, 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, Yokohama, Japan, 7/01/21. https://doi.org/10.24963/ijcai.2020/743

TY - GEN

T1 - Towards an artificial argumentation system

AU - Ruiz-Dolz, Ramon

PY - 2021

Y1 - 2021

N2 - Computational Argumentation studies the definition of models able to either have a debate, persuade users in decision making or assist humans with argument analysis. In this work, some of our initial contributions and the foundations of this research field are presented.

AB - Computational Argumentation studies the definition of models able to either have a debate, persuade users in decision making or assist humans with argument analysis. In this work, some of our initial contributions and the foundations of this research field are presented.

KW - Knowledge Representation and Reasoning: Computational Models of Argument

KW - Humans and AI: Computer-Aided Education

KW - Natural Language Processing: Discourse

UR - https://ijcai20.org/

U2 - 10.24963/ijcai.2020/743

DO - 10.24963/ijcai.2020/743

M3 - Conference contribution

AN - SCOPUS:85097355370

SP - 5206

EP - 5207

BT - Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

A2 - Bessiere, Christian

PB - International Joint Conferences on Artificial Intelligence

T2 - 29th International Joint Conference on Artificial Intelligence, IJCAI 2020

Y2 - 7 January 2021 through 15 January 2021

ER -

Towards an artificial argumentation system

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this