Argumentation Frameworks Features: an Initial Study

Mauro Vallati; Federico Cerutti; Massimiliano Giacomin

doi:10.3233/978-1-61499-419-0-1117

Argumentation Frameworks Features: an Initial Study

Mauro Vallati, Federico Cerutti, Massimiliano Giacomin

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

6 Citations (Scopus)

Abstract

Semantics extensions are the outcome of the argumentation reasoning process: enumerating them is generally an intractable problem. For preferred semantics two efficient algorithms have been recently proposed, PrefSAT and SCC-P, with significant runtime variations. This preliminary work aims at investigating the reasons (argumentation framework features) for such variations. Remarkably, we observed that few features have a strong impact, and those exploited by the most performing algorithm are not the most relevant.

Original language	English
Title of host publication	ECAI 2014
Subtitle of host publication	21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings
Editors	Torsten Schaub, Gerhard Friedrich, Barry O'Sullivan
Publisher	IOS Press
Pages	1117-1118
Number of pages	2
ISBN (Electronic)	9781614994190
ISBN (Print)	9781614994183
DOIs	https://doi.org/10.3233/978-1-61499-419-0-1117
Publication status	Published - 1 Jan 2014
Event	21st European Conference on Artificial Intelligence - Clarion Congress Hotel, Prague , Czech Republic Duration: 18 Aug 2014 → 22 Aug 2014 Conference number: 21 https://www.ecai2014.org/programme/detailed-programme/ (Link to Conference Website)

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	263
ISSN (Print)	0922-6389

Conference

Conference	21st European Conference on Artificial Intelligence
Abbreviated title	ECAI 2014
Country/Territory	Czech Republic
City	Prague
Period	18/08/14 → 22/08/14
Internet address	https://www.ecai2014.org/programme/detailed-programme/ (Link to Conference Website)

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10.3233/978-1-61499-419-0-1117Licence: CC BY-NC

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Vallati, M., Cerutti, F., & Giacomin, M. (2014). Argumentation Frameworks Features: an Initial Study. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014: 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings (pp. 1117-1118). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-1117

Vallati, Mauro ; Cerutti, Federico ; Giacomin, Massimiliano. / Argumentation Frameworks Features : an Initial Study. ECAI 2014: 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. editor / Torsten Schaub ; Gerhard Friedrich ; Barry O'Sullivan. IOS Press, 2014. pp. 1117-1118 (Frontiers in Artificial Intelligence and Applications).

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abstract = "Semantics extensions are the outcome of the argumentation reasoning process: enumerating them is generally an intractable problem. For preferred semantics two efficient algorithms have been recently proposed, PrefSAT and SCC-P, with significant runtime variations. This preliminary work aims at investigating the reasons (argumentation framework features) for such variations. Remarkably, we observed that few features have a strong impact, and those exploited by the most performing algorithm are not the most relevant.",

author = "Mauro Vallati and Federico Cerutti and Massimiliano Giacomin",

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Vallati, M, Cerutti, F & Giacomin, M 2014, Argumentation Frameworks Features: an Initial Study. in T Schaub, G Friedrich & B O'Sullivan (eds), ECAI 2014: 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. Frontiers in Artificial Intelligence and Applications, vol. 263, IOS Press, pp. 1117-1118, 21st European Conference on Artificial Intelligence, Prague , Czech Republic, 18/08/14. https://doi.org/10.3233/978-1-61499-419-0-1117

Argumentation Frameworks Features : an Initial Study. / Vallati, Mauro; Cerutti, Federico; Giacomin, Massimiliano.

ECAI 2014: 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. ed. / Torsten Schaub; Gerhard Friedrich; Barry O'Sullivan. IOS Press, 2014. p. 1117-1118 (Frontiers in Artificial Intelligence and Applications; Vol. 263).

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

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AU - Vallati, Mauro

AU - Cerutti, Federico

AU - Giacomin, Massimiliano

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Y1 - 2014/1/1

N2 - Semantics extensions are the outcome of the argumentation reasoning process: enumerating them is generally an intractable problem. For preferred semantics two efficient algorithms have been recently proposed, PrefSAT and SCC-P, with significant runtime variations. This preliminary work aims at investigating the reasons (argumentation framework features) for such variations. Remarkably, we observed that few features have a strong impact, and those exploited by the most performing algorithm are not the most relevant.

AB - Semantics extensions are the outcome of the argumentation reasoning process: enumerating them is generally an intractable problem. For preferred semantics two efficient algorithms have been recently proposed, PrefSAT and SCC-P, with significant runtime variations. This preliminary work aims at investigating the reasons (argumentation framework features) for such variations. Remarkably, we observed that few features have a strong impact, and those exploited by the most performing algorithm are not the most relevant.

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DO - 10.3233/978-1-61499-419-0-1117

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SN - 9781614994183

T3 - Frontiers in Artificial Intelligence and Applications

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Vallati M, Cerutti F, Giacomin M. Argumentation Frameworks Features: an Initial Study. In Schaub T, Friedrich G, O'Sullivan B, editors, ECAI 2014: 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. IOS Press. 2014. p. 1117-1118. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-419-0-1117

Argumentation Frameworks Features: an Initial Study

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