Generalising argument dialogue with the Dialogue Game Execution Platform

Floris Bex; John Lawrence; Chris Reed

doi:10.3233/978-1-61499-436-7-141

Generalising argument dialogue with the Dialogue Game Execution Platform

Floris Bex, John Lawrence, Chris Reed

Computing

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

22 Citations (Scopus)

Abstract

In this paper, we present the Dialogue Game Execution Platform (DGEP), which is able to process and execute any dialogue game specified in a general description language and build arguments and dialogue histories in the language of the AIF ontology. Thus, DGEP allows us to generalise techniques for generation and investigation of dialogues and, through a set of web services, connect a wide variety of multi-agent systems and human-computer interfaces for dialogue.

Original language	English
Title of host publication	Computational Models of Argument
Subtitle of host publication	Proceedings of COMMA 2014
Editors	Simon Parsons, Nir Oren, Chris Reed, Federico Cerutti
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	141-152
Number of pages	12
ISBN (Electronic)	9781614994367
ISBN (Print)	9781614994350
DOIs	https://doi.org/10.3233/978-1-61499-436-7-141
Publication status	Published - 2014
Event	Fifth International Conference on Computational Models of Argument - Atholl Palace Hotel, Pitlochry, United Kingdom Duration: 9 Sept 2014 → 12 Sept 2014 http://www.comma-conf.org/

Publication series

Name	Frontiers in artificial intelligence and applications
Publisher	IOS Press
Volume	266
ISSN (Print)	0922-6389

Conference

Conference	Fifth International Conference on Computational Models of Argument
Abbreviated title	COMMA 2014
Country/Territory	United Kingdom
City	Pitlochry
Period	9/09/14 → 12/09/14
Internet address	http://www.comma-conf.org/

Keywords

Argument web services
Dialogue execution
Dialogue specification

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/978-1-61499-436-7-141

http://library.dundee.ac.uk/F/GYFD2BUK12EAVQYNHTM1DG8TGNJBLL67PYBGY49DR6U14YQI42-35635?func=find-e&adjacent=N&request=9781614994350&find_scan_code=FIND_WRD&x=44&y=10

Cite this

@inproceedings{928f97de3fd14ba6be8c8055adfc13b7,

title = "Generalising argument dialogue with the Dialogue Game Execution Platform",

abstract = "In this paper, we present the Dialogue Game Execution Platform (DGEP), which is able to process and execute any dialogue game specified in a general description language and build arguments and dialogue histories in the language of the AIF ontology. Thus, DGEP allows us to generalise techniques for generation and investigation of dialogues and, through a set of web services, connect a wide variety of multi-agent systems and human-computer interfaces for dialogue.",

keywords = "Argument web services, Dialogue execution, Dialogue specification",

author = "Floris Bex and John Lawrence and Chris Reed",

year = "2014",

doi = "10.3233/978-1-61499-436-7-141",

language = "English",

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pages = "141--152",

editor = "Parsons, {Simon } and Oren, {Nir } and Reed, {Chris } and Cerutti, {Federico }",

booktitle = "Computational Models of Argument",

address = "Netherlands",

note = "Fifth International Conference on Computational Models of Argument, COMMA 2014 ; Conference date: 09-09-2014 Through 12-09-2014",

url = "http://www.comma-conf.org/",

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Bex, F, Lawrence, J & Reed, C 2014, Generalising argument dialogue with the Dialogue Game Execution Platform. in S Parsons, N Oren, C Reed & F Cerutti (eds), Computational Models of Argument: Proceedings of COMMA 2014. Frontiers in artificial intelligence and applications, vol. 266, IOS Press, Amsterdam, pp. 141-152, Fifth International Conference on Computational Models of Argument, Pitlochry, United Kingdom, 9/09/14. https://doi.org/10.3233/978-1-61499-436-7-141

Generalising argument dialogue with the Dialogue Game Execution Platform. / Bex, Floris; Lawrence, John ; Reed, Chris.
Computational Models of Argument: Proceedings of COMMA 2014. ed. / Simon Parsons; Nir Oren; Chris Reed; Federico Cerutti. Amsterdam: IOS Press, 2014. p. 141-152 (Frontiers in artificial intelligence and applications; Vol. 266).

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

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T1 - Generalising argument dialogue with the Dialogue Game Execution Platform

AU - Bex, Floris

AU - Lawrence, John

AU - Reed, Chris

PY - 2014

Y1 - 2014

N2 - In this paper, we present the Dialogue Game Execution Platform (DGEP), which is able to process and execute any dialogue game specified in a general description language and build arguments and dialogue histories in the language of the AIF ontology. Thus, DGEP allows us to generalise techniques for generation and investigation of dialogues and, through a set of web services, connect a wide variety of multi-agent systems and human-computer interfaces for dialogue.

AB - In this paper, we present the Dialogue Game Execution Platform (DGEP), which is able to process and execute any dialogue game specified in a general description language and build arguments and dialogue histories in the language of the AIF ontology. Thus, DGEP allows us to generalise techniques for generation and investigation of dialogues and, through a set of web services, connect a wide variety of multi-agent systems and human-computer interfaces for dialogue.

KW - Argument web services

KW - Dialogue execution

KW - Dialogue specification

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DO - 10.3233/978-1-61499-436-7-141

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AN - SCOPUS:84940504712

SN - 9781614994350

T3 - Frontiers in artificial intelligence and applications

SP - 141

EP - 152

BT - Computational Models of Argument

A2 - Parsons, Simon

A2 - Oren, Nir

A2 - Reed, Chris

A2 - Cerutti, Federico

PB - IOS Press

CY - Amsterdam

T2 - Fifth International Conference on Computational Models of Argument

Y2 - 9 September 2014 through 12 September 2014

ER -

Generalising argument dialogue with the Dialogue Game Execution Platform

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Computational Models of Argument: Proceedings of COMMA 2014

Cite this